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You searched for subject:(propensity scores). Showing records 1 – 30 of 41 total matches.

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Oregon State University

1. Yang, Daniel K. Propensity score adjustments using covariates in observational studies.

Degree: PhD, Statistics, 2011, Oregon State University

 In this thesis we develop a theoretical framework for the identification of situations where the equal frequency (EF) or equal variance (EV) subclassification may produce… (more)

Subjects/Keywords: propensity scores; Missing observations (Statistics)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, D. K. (2011). Propensity score adjustments using covariates in observational studies. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/26304

Chicago Manual of Style (16th Edition):

Yang, Daniel K. “Propensity score adjustments using covariates in observational studies.” 2011. Doctoral Dissertation, Oregon State University. Accessed September 26, 2020. http://hdl.handle.net/1957/26304.

MLA Handbook (7th Edition):

Yang, Daniel K. “Propensity score adjustments using covariates in observational studies.” 2011. Web. 26 Sep 2020.

Vancouver:

Yang DK. Propensity score adjustments using covariates in observational studies. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/1957/26304.

Council of Science Editors:

Yang DK. Propensity score adjustments using covariates in observational studies. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/26304


Penn State University

2. Zhou, Jiangxiu. Comparison of approaches for handling missingness in covariates for propensity score models.

Degree: 2015, Penn State University

 Causal effect estimation with observational data is subject to bias due to confounding. Although potential confounders could be adjusted for by fitting a multiple regression… (more)

Subjects/Keywords: propensity scores; missing data

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APA (6th Edition):

Zhou, J. (2015). Comparison of approaches for handling missingness in covariates for propensity score models. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/25874

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhou, Jiangxiu. “Comparison of approaches for handling missingness in covariates for propensity score models.” 2015. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/25874.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhou, Jiangxiu. “Comparison of approaches for handling missingness in covariates for propensity score models.” 2015. Web. 26 Sep 2020.

Vancouver:

Zhou J. Comparison of approaches for handling missingness in covariates for propensity score models. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/25874.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhou J. Comparison of approaches for handling missingness in covariates for propensity score models. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/25874

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Boston University

3. Maxwell, Jessica. The effect of knee replacement on outcomes throughout the disablement model.

Degree: PhD, Epidemiology, 2015, Boston University

 The annual incidence of knee replacement (KR) procedures in the United States is predicted to reach over 3.5 million by the year 2030. KR is… (more)

Subjects/Keywords: Epidemiology; Knee replacement; Propensity scores

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APA (6th Edition):

Maxwell, J. (2015). The effect of knee replacement on outcomes throughout the disablement model. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15637

Chicago Manual of Style (16th Edition):

Maxwell, Jessica. “The effect of knee replacement on outcomes throughout the disablement model.” 2015. Doctoral Dissertation, Boston University. Accessed September 26, 2020. http://hdl.handle.net/2144/15637.

MLA Handbook (7th Edition):

Maxwell, Jessica. “The effect of knee replacement on outcomes throughout the disablement model.” 2015. Web. 26 Sep 2020.

Vancouver:

Maxwell J. The effect of knee replacement on outcomes throughout the disablement model. [Internet] [Doctoral dissertation]. Boston University; 2015. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/2144/15637.

Council of Science Editors:

Maxwell J. The effect of knee replacement on outcomes throughout the disablement model. [Doctoral Dissertation]. Boston University; 2015. Available from: http://hdl.handle.net/2144/15637


Oregon State University

4. Starcevich, Leigh Ann H. Propensity score methodology for nonignorable nonresponse.

Degree: PhD, Statistics, 2010, Oregon State University

 When data are not missing at random, approaches to reduce nonresponse bias include subsampling nonresponding units and modeling. The objective of this thesis is to… (more)

Subjects/Keywords: Propensity scores; Nonresponse (Statistics)

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APA (6th Edition):

Starcevich, L. A. H. (2010). Propensity score methodology for nonignorable nonresponse. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/18463

Chicago Manual of Style (16th Edition):

Starcevich, Leigh Ann H. “Propensity score methodology for nonignorable nonresponse.” 2010. Doctoral Dissertation, Oregon State University. Accessed September 26, 2020. http://hdl.handle.net/1957/18463.

MLA Handbook (7th Edition):

Starcevich, Leigh Ann H. “Propensity score methodology for nonignorable nonresponse.” 2010. Web. 26 Sep 2020.

Vancouver:

Starcevich LAH. Propensity score methodology for nonignorable nonresponse. [Internet] [Doctoral dissertation]. Oregon State University; 2010. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/1957/18463.

Council of Science Editors:

Starcevich LAH. Propensity score methodology for nonignorable nonresponse. [Doctoral Dissertation]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/18463


University of California – Riverside

5. Patterson, Daniel. An Investigation of the Effectiveness of an Orton-Gillingham Based Reading Intervention in Kindergarten and First Grade Using a Fuzzy Regression Discontinuity Design.

Degree: Education, 2016, University of California – Riverside

 Delays in the development of early literacy skills are associated with a wrath of negative educational outcomes and so addressing such delays is one of… (more)

Subjects/Keywords: Education; Orton-Gillingham; Propensity Scores; Regression Discontinuity

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APA (6th Edition):

Patterson, D. (2016). An Investigation of the Effectiveness of an Orton-Gillingham Based Reading Intervention in Kindergarten and First Grade Using a Fuzzy Regression Discontinuity Design. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/3jz3x80s

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Patterson, Daniel. “An Investigation of the Effectiveness of an Orton-Gillingham Based Reading Intervention in Kindergarten and First Grade Using a Fuzzy Regression Discontinuity Design.” 2016. Thesis, University of California – Riverside. Accessed September 26, 2020. http://www.escholarship.org/uc/item/3jz3x80s.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Patterson, Daniel. “An Investigation of the Effectiveness of an Orton-Gillingham Based Reading Intervention in Kindergarten and First Grade Using a Fuzzy Regression Discontinuity Design.” 2016. Web. 26 Sep 2020.

Vancouver:

Patterson D. An Investigation of the Effectiveness of an Orton-Gillingham Based Reading Intervention in Kindergarten and First Grade Using a Fuzzy Regression Discontinuity Design. [Internet] [Thesis]. University of California – Riverside; 2016. [cited 2020 Sep 26]. Available from: http://www.escholarship.org/uc/item/3jz3x80s.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Patterson D. An Investigation of the Effectiveness of an Orton-Gillingham Based Reading Intervention in Kindergarten and First Grade Using a Fuzzy Regression Discontinuity Design. [Thesis]. University of California – Riverside; 2016. Available from: http://www.escholarship.org/uc/item/3jz3x80s

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

6. Bathija, Sacheeta. Patient Outcomes with Warfarin Therapy after Hip and Knee Replacement: Comparison of Two Models of Care.

Degree: 2013, University of Illinois – Chicago

 The first objective of the study was to examine the association between race of the patients and their referral to anticoagulation clinic compared to orthopedic… (more)

Subjects/Keywords: warfarin; anticoagulation; propensity scores; venous thromboembolism

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APA (6th Edition):

Bathija, S. (2013). Patient Outcomes with Warfarin Therapy after Hip and Knee Replacement: Comparison of Two Models of Care. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/10042

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bathija, Sacheeta. “Patient Outcomes with Warfarin Therapy after Hip and Knee Replacement: Comparison of Two Models of Care.” 2013. Thesis, University of Illinois – Chicago. Accessed September 26, 2020. http://hdl.handle.net/10027/10042.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bathija, Sacheeta. “Patient Outcomes with Warfarin Therapy after Hip and Knee Replacement: Comparison of Two Models of Care.” 2013. Web. 26 Sep 2020.

Vancouver:

Bathija S. Patient Outcomes with Warfarin Therapy after Hip and Knee Replacement: Comparison of Two Models of Care. [Internet] [Thesis]. University of Illinois – Chicago; 2013. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/10027/10042.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bathija S. Patient Outcomes with Warfarin Therapy after Hip and Knee Replacement: Comparison of Two Models of Care. [Thesis]. University of Illinois – Chicago; 2013. Available from: http://hdl.handle.net/10027/10042

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

7. Nickodem, Kyle. Use of Aggregated Covariates In Propensity Score Analysis of Clustered Data.

Degree: PhD, Educational Psychology, 2020, University of Minnesota

Propensity score methods can be used to reduce selection bias and improve causal inferencing with nonrandomized data. However, there is little guidance for implementing a… (more)

Subjects/Keywords: Aggregation; Clustered Data; Propensity Scores; Selection Bias

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APA (6th Edition):

Nickodem, K. (2020). Use of Aggregated Covariates In Propensity Score Analysis of Clustered Data. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/216126

Chicago Manual of Style (16th Edition):

Nickodem, Kyle. “Use of Aggregated Covariates In Propensity Score Analysis of Clustered Data.” 2020. Doctoral Dissertation, University of Minnesota. Accessed September 26, 2020. http://hdl.handle.net/11299/216126.

MLA Handbook (7th Edition):

Nickodem, Kyle. “Use of Aggregated Covariates In Propensity Score Analysis of Clustered Data.” 2020. Web. 26 Sep 2020.

Vancouver:

Nickodem K. Use of Aggregated Covariates In Propensity Score Analysis of Clustered Data. [Internet] [Doctoral dissertation]. University of Minnesota; 2020. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/11299/216126.

Council of Science Editors:

Nickodem K. Use of Aggregated Covariates In Propensity Score Analysis of Clustered Data. [Doctoral Dissertation]. University of Minnesota; 2020. Available from: http://hdl.handle.net/11299/216126


Case Western Reserve University

8. Ou, Ju-Chi. Propensity Score Analysis of Exposure Effects for Spatially Correlated Data.

Degree: PhD, Epidemiology and Biostatistics, 2010, Case Western Reserve University

  Spatial patterns in data have become an important feature to consider in the statistical analysis in medical esearch. The analysis of data from observational… (more)

Subjects/Keywords: Biostatistics; PROPENSITY SCORE; outcome model; PROPENSITY; Balance scores; covariates; Propensity score models

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ou, J. (2010). Propensity Score Analysis of Exposure Effects for Spatially Correlated Data. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742

Chicago Manual of Style (16th Edition):

Ou, Ju-Chi. “Propensity Score Analysis of Exposure Effects for Spatially Correlated Data.” 2010. Doctoral Dissertation, Case Western Reserve University. Accessed September 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742.

MLA Handbook (7th Edition):

Ou, Ju-Chi. “Propensity Score Analysis of Exposure Effects for Spatially Correlated Data.” 2010. Web. 26 Sep 2020.

Vancouver:

Ou J. Propensity Score Analysis of Exposure Effects for Spatially Correlated Data. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2010. [cited 2020 Sep 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742.

Council of Science Editors:

Ou J. Propensity Score Analysis of Exposure Effects for Spatially Correlated Data. [Doctoral Dissertation]. Case Western Reserve University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742

9. Vegetabile, Brian Garrett. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.

Degree: Statistics, 2018, University of California – Irvine

 The most basic approach to causal inference measures the response of a system or population to different exposures, or treatments, and compares one or more… (more)

Subjects/Keywords: Statistics; Balancing Scores; Causal Inference; Nonparametric Estimation; Optimization; Propensity Scores

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vegetabile, B. G. (2018). Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9f65n5h1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Vegetabile, Brian Garrett. “Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.” 2018. Thesis, University of California – Irvine. Accessed September 26, 2020. http://www.escholarship.org/uc/item/9f65n5h1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Vegetabile, Brian Garrett. “Methods for Optimal Covariate Balance in Observational Studies for Causal Inference.” 2018. Web. 26 Sep 2020.

Vancouver:

Vegetabile BG. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. [Internet] [Thesis]. University of California – Irvine; 2018. [cited 2020 Sep 26]. Available from: http://www.escholarship.org/uc/item/9f65n5h1.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vegetabile BG. Methods for Optimal Covariate Balance in Observational Studies for Causal Inference. [Thesis]. University of California – Irvine; 2018. Available from: http://www.escholarship.org/uc/item/9f65n5h1

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Michigan

10. Hosman, Carrie A. Methods to Control for Overt and Hidden Biases in Comparative Studies.

Degree: PhD, Statistics, 2011, University of Michigan

 When the goal of a comparative study is to ascertain the effect of some treatment condition, problems arise when it is not randomly assigned to… (more)

Subjects/Keywords: Comparative Studies; Propensity Scores; Prognostic Scores; Statistics and Numeric Data; Science

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APA (6th Edition):

Hosman, C. A. (2011). Methods to Control for Overt and Hidden Biases in Comparative Studies. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86498

Chicago Manual of Style (16th Edition):

Hosman, Carrie A. “Methods to Control for Overt and Hidden Biases in Comparative Studies.” 2011. Doctoral Dissertation, University of Michigan. Accessed September 26, 2020. http://hdl.handle.net/2027.42/86498.

MLA Handbook (7th Edition):

Hosman, Carrie A. “Methods to Control for Overt and Hidden Biases in Comparative Studies.” 2011. Web. 26 Sep 2020.

Vancouver:

Hosman CA. Methods to Control for Overt and Hidden Biases in Comparative Studies. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/2027.42/86498.

Council of Science Editors:

Hosman CA. Methods to Control for Overt and Hidden Biases in Comparative Studies. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86498


Case Western Reserve University

11. Conway, Devon S. Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique.

Degree: MSs, Clinical Research, 2011, Case Western Reserve University

  Introduction: The Knowledge Project (KP) is an initiative to collect self-reported patient data and objective clinician assessments electronically at each appointment. The long-term benefits… (more)

Subjects/Keywords: Neurology; Multiple sclerosis; disability; disability progression; early treatment; propensity scores; propensity analysis; MS

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APA (6th Edition):

Conway, D. S. (2011). Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1307635721

Chicago Manual of Style (16th Edition):

Conway, Devon S. “Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique.” 2011. Masters Thesis, Case Western Reserve University. Accessed September 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1307635721.

MLA Handbook (7th Edition):

Conway, Devon S. “Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique.” 2011. Web. 26 Sep 2020.

Vancouver:

Conway DS. Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique. [Internet] [Masters thesis]. Case Western Reserve University; 2011. [cited 2020 Sep 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1307635721.

Council of Science Editors:

Conway DS. Long-Term Benefits of Early Treatment in Multiple Sclerosis: An Investigation Utilizing a Novel Data Collection Technique. [Masters Thesis]. Case Western Reserve University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1307635721


Vanderbilt University

12. Samuels, Lauren Ruth. Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching.

Degree: PhD, Biostatistics, 2016, Vanderbilt University

 This dissertation consists of three papers related to causal inference about the evenly matchable units in observational studies of treatment effect. The first paper begins… (more)

Subjects/Keywords: observational studies; propensity scores; bootstrap aggregation; data visualization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Samuels, L. R. (2016). Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15265

Chicago Manual of Style (16th Edition):

Samuels, Lauren Ruth. “Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed September 26, 2020. http://hdl.handle.net/1803/15265.

MLA Handbook (7th Edition):

Samuels, Lauren Ruth. “Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching.” 2016. Web. 26 Sep 2020.

Vancouver:

Samuels LR. Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/1803/15265.

Council of Science Editors:

Samuels LR. Aspects of Causal Inference within the Evenly Matchable Population: The Average Treatment Effect on the Evenly Matchable Units, Visually Guided Cohort Selection, and Bagged One-to-One Matching. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/15265


Penn State University

13. Zhu, Yeying. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.

Degree: 2013, Penn State University

 In most nonrandomized observational studies, differences between treatment groups may arise not only due to the treatment but also because of the effect of confounders.… (more)

Subjects/Keywords: causal inference; data-adaptive; data mining; observational studies; propensity scores

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APA (6th Edition):

Zhu, Y. (2013). Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18662

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhu, Yeying. “Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.” 2013. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/18662.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhu, Yeying. “Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.” 2013. Web. 26 Sep 2020.

Vancouver:

Zhu Y. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/18662.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhu Y. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18662

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

14. Lobraico, Emily Joy. Examining Component-Specific Dosage Effects on Substance Use Outcomes in the Strengthening Families Program: For Parents and Youth Ages 10-14.

Degree: 2017, Penn State University

 Family-based prevention programs have been widely disseminated and are considered to be effective for an array of adolescent problem behaviors, including substance use initiation. Yet,… (more)

Subjects/Keywords: Family-Based Intervention; Substance Use Prevention; Propensity Scores; Component Analysis

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APA (6th Edition):

Lobraico, E. J. (2017). Examining Component-Specific Dosage Effects on Substance Use Outcomes in the Strengthening Families Program: For Parents and Youth Ages 10-14. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14752eql5177

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lobraico, Emily Joy. “Examining Component-Specific Dosage Effects on Substance Use Outcomes in the Strengthening Families Program: For Parents and Youth Ages 10-14.” 2017. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/14752eql5177.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lobraico, Emily Joy. “Examining Component-Specific Dosage Effects on Substance Use Outcomes in the Strengthening Families Program: For Parents and Youth Ages 10-14.” 2017. Web. 26 Sep 2020.

Vancouver:

Lobraico EJ. Examining Component-Specific Dosage Effects on Substance Use Outcomes in the Strengthening Families Program: For Parents and Youth Ages 10-14. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/14752eql5177.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lobraico EJ. Examining Component-Specific Dosage Effects on Substance Use Outcomes in the Strengthening Families Program: For Parents and Youth Ages 10-14. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14752eql5177

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

15. SASIDHARAN, LEKSHMI. CAUSAL MODELING APPROACH TO DETERMINE THE EFFECTIVENESS OF TRAFFIC SAFETY COUNTERMEASURES .

Degree: 2011, Penn State University

 ABSTRACT More than 5.5 million police-reported traffic crashes occurred in the United States in 2009, resulting in 33,808 fatalities and more than 2.2 million injuries.… (more)

Subjects/Keywords: regression estimation; causal models; propensity scores; matching; stratification

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APA (6th Edition):

SASIDHARAN, L. (2011). CAUSAL MODELING APPROACH TO DETERMINE THE EFFECTIVENESS OF TRAFFIC SAFETY COUNTERMEASURES . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12474

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

SASIDHARAN, LEKSHMI. “CAUSAL MODELING APPROACH TO DETERMINE THE EFFECTIVENESS OF TRAFFIC SAFETY COUNTERMEASURES .” 2011. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/12474.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

SASIDHARAN, LEKSHMI. “CAUSAL MODELING APPROACH TO DETERMINE THE EFFECTIVENESS OF TRAFFIC SAFETY COUNTERMEASURES .” 2011. Web. 26 Sep 2020.

Vancouver:

SASIDHARAN L. CAUSAL MODELING APPROACH TO DETERMINE THE EFFECTIVENESS OF TRAFFIC SAFETY COUNTERMEASURES . [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/12474.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SASIDHARAN L. CAUSAL MODELING APPROACH TO DETERMINE THE EFFECTIVENESS OF TRAFFIC SAFETY COUNTERMEASURES . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12474

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

16. Gooch, Jeffrey Paul. Estimating the Safety Effects of Horizontal Curves on Pennsylvania Two-lane Rural Roads.

Degree: 2015, Penn State University

 Roadway departure crashes are three times more likely on horizontal curves than on tangent sections of two-lane rural highways. Research is needed to better quantify… (more)

Subjects/Keywords: Highway safety; traffic safety; horizontal curves; propensity scores; potential outcomes; negative binomial; mixed effects

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APA (6th Edition):

Gooch, J. P. (2015). Estimating the Safety Effects of Horizontal Curves on Pennsylvania Two-lane Rural Roads. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24835

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gooch, Jeffrey Paul. “Estimating the Safety Effects of Horizontal Curves on Pennsylvania Two-lane Rural Roads.” 2015. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/24835.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gooch, Jeffrey Paul. “Estimating the Safety Effects of Horizontal Curves on Pennsylvania Two-lane Rural Roads.” 2015. Web. 26 Sep 2020.

Vancouver:

Gooch JP. Estimating the Safety Effects of Horizontal Curves on Pennsylvania Two-lane Rural Roads. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/24835.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gooch JP. Estimating the Safety Effects of Horizontal Curves on Pennsylvania Two-lane Rural Roads. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24835

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

17. Wood, Jonathan Sayre. Causal inference in traffic safety research: comparison of the empirical Bayes and propensity scores-potential outcomes methods.

Degree: 2016, Penn State University

 Accurate estimation of safety treatment effectiveness is an important part of the transportation engineering and research profession. Transportation engineering practitioners use safety treatment effect estimates… (more)

Subjects/Keywords: Causal inference; empirical Bayes; transportation safety; genetic matching; propensity scores; crash modification factor

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APA (6th Edition):

Wood, J. S. (2016). Causal inference in traffic safety research: comparison of the empirical Bayes and propensity scores-potential outcomes methods. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wood, Jonathan Sayre. “Causal inference in traffic safety research: comparison of the empirical Bayes and propensity scores-potential outcomes methods.” 2016. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/28774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wood, Jonathan Sayre. “Causal inference in traffic safety research: comparison of the empirical Bayes and propensity scores-potential outcomes methods.” 2016. Web. 26 Sep 2020.

Vancouver:

Wood JS. Causal inference in traffic safety research: comparison of the empirical Bayes and propensity scores-potential outcomes methods. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/28774.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wood JS. Causal inference in traffic safety research: comparison of the empirical Bayes and propensity scores-potential outcomes methods. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28774

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

18. Pressler, Taylor R. The Use of Propensity Scores to Estimate Sample Selection Error in Observational Data.

Degree: MS, Statistics, 2011, The Ohio State University

 While randomized controlled trials (RCT) are considered the “gold standard” for clinical studies, the use of exclusion criteria may impact the external validity of the… (more)

Subjects/Keywords: Biomedical Research; Biostatistics; Medicine; Statistics; Propensity scores; Randomized Controlled Trials; exclusion criteria; bias

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APA (6th Edition):

Pressler, T. R. (2011). The Use of Propensity Scores to Estimate Sample Selection Error in Observational Data. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1298997078

Chicago Manual of Style (16th Edition):

Pressler, Taylor R. “The Use of Propensity Scores to Estimate Sample Selection Error in Observational Data.” 2011. Masters Thesis, The Ohio State University. Accessed September 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1298997078.

MLA Handbook (7th Edition):

Pressler, Taylor R. “The Use of Propensity Scores to Estimate Sample Selection Error in Observational Data.” 2011. Web. 26 Sep 2020.

Vancouver:

Pressler TR. The Use of Propensity Scores to Estimate Sample Selection Error in Observational Data. [Internet] [Masters thesis]. The Ohio State University; 2011. [cited 2020 Sep 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1298997078.

Council of Science Editors:

Pressler TR. The Use of Propensity Scores to Estimate Sample Selection Error in Observational Data. [Masters Thesis]. The Ohio State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1298997078


Universiteit Utrecht

19. Martens, E.P. Methods to adjust for confounding: propensity scores and instrumental variables.

Degree: 2007, Universiteit Utrecht

 In the evaluation of the effect of different treatments well-conducted randomized controlled trials have been widely accepted as the scientific standard. When on the other… (more)

Subjects/Keywords: Farmacie; confounding; propensity scores; instrumental variables; observational studies; overlapping coefficient; non-compliance

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APA (6th Edition):

Martens, E. P. (2007). Methods to adjust for confounding: propensity scores and instrumental variables. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/25008

Chicago Manual of Style (16th Edition):

Martens, E P. “Methods to adjust for confounding: propensity scores and instrumental variables.” 2007. Doctoral Dissertation, Universiteit Utrecht. Accessed September 26, 2020. http://dspace.library.uu.nl:8080/handle/1874/25008.

MLA Handbook (7th Edition):

Martens, E P. “Methods to adjust for confounding: propensity scores and instrumental variables.” 2007. Web. 26 Sep 2020.

Vancouver:

Martens EP. Methods to adjust for confounding: propensity scores and instrumental variables. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2007. [cited 2020 Sep 26]. Available from: http://dspace.library.uu.nl:8080/handle/1874/25008.

Council of Science Editors:

Martens EP. Methods to adjust for confounding: propensity scores and instrumental variables. [Doctoral Dissertation]. Universiteit Utrecht; 2007. Available from: http://dspace.library.uu.nl:8080/handle/1874/25008


University of Illinois – Chicago

20. Hubbard, Colin. Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data.

Degree: 2017, University of Illinois – Chicago

 Dynamic propensity adjustment models are extensions of the propensity score adjustment strategy to longitudinal observational study data, in which observations on the same subjects are… (more)

Subjects/Keywords: propensity scores; longitudinal data; matching; weighting; adjustment; treatment effectiveness research; observational studies

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APA (6th Edition):

Hubbard, C. (2017). Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hubbard, Colin. “Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data.” 2017. Thesis, University of Illinois – Chicago. Accessed September 26, 2020. http://hdl.handle.net/10027/22237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hubbard, Colin. “Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data.” 2017. Web. 26 Sep 2020.

Vancouver:

Hubbard C. Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/10027/22237.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hubbard C. Extensions of the Dynamic Propensity Score Adjustment for Longitudinal Data. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/22237

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Dooley, Cara. Observational studies, matching and propensity scores: Applied to colorectal cancer data.

Degree: 2020, NUI Galway

Many studies in biostatistics are concerned with comparing two groups of patients, a treatment and a control group, to determine the effect of the treatment.… (more)

Subjects/Keywords: Observational Studies; Survival Analysis; Propensity scores; Mathematics, Statistics and Applied Mathematics; Statistics

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APA (6th Edition):

Dooley, C. (2020). Observational studies, matching and propensity scores: Applied to colorectal cancer data. (Thesis). NUI Galway. Retrieved from http://hdl.handle.net/10379/15894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dooley, Cara. “Observational studies, matching and propensity scores: Applied to colorectal cancer data.” 2020. Thesis, NUI Galway. Accessed September 26, 2020. http://hdl.handle.net/10379/15894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dooley, Cara. “Observational studies, matching and propensity scores: Applied to colorectal cancer data.” 2020. Web. 26 Sep 2020.

Vancouver:

Dooley C. Observational studies, matching and propensity scores: Applied to colorectal cancer data. [Internet] [Thesis]. NUI Galway; 2020. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/10379/15894.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dooley C. Observational studies, matching and propensity scores: Applied to colorectal cancer data. [Thesis]. NUI Galway; 2020. Available from: http://hdl.handle.net/10379/15894

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Soberay, Adam David. Comparing Short-Term Outcomes of Three Problem Gambling Treatments: A Multi-Group Propensity Score Analysis.

Degree: PhD, Quantitative Research Methods, 2015, U of Denver

  This study applied a multi-group form of propensity score analysis to the study of outcomes related to problem gambling treatment. Across various treatment settings,… (more)

Subjects/Keywords: Counseling; Problem gambling; Propensity scores; Counseling; Counseling Psychology; Experimental Analysis of Behavior; Psychology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Soberay, A. D. (2015). Comparing Short-Term Outcomes of Three Problem Gambling Treatments: A Multi-Group Propensity Score Analysis. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/615

Chicago Manual of Style (16th Edition):

Soberay, Adam David. “Comparing Short-Term Outcomes of Three Problem Gambling Treatments: A Multi-Group Propensity Score Analysis.” 2015. Doctoral Dissertation, U of Denver. Accessed September 26, 2020. https://digitalcommons.du.edu/etd/615.

MLA Handbook (7th Edition):

Soberay, Adam David. “Comparing Short-Term Outcomes of Three Problem Gambling Treatments: A Multi-Group Propensity Score Analysis.” 2015. Web. 26 Sep 2020.

Vancouver:

Soberay AD. Comparing Short-Term Outcomes of Three Problem Gambling Treatments: A Multi-Group Propensity Score Analysis. [Internet] [Doctoral dissertation]. U of Denver; 2015. [cited 2020 Sep 26]. Available from: https://digitalcommons.du.edu/etd/615.

Council of Science Editors:

Soberay AD. Comparing Short-Term Outcomes of Three Problem Gambling Treatments: A Multi-Group Propensity Score Analysis. [Doctoral Dissertation]. U of Denver; 2015. Available from: https://digitalcommons.du.edu/etd/615


University of Western Ontario

23. Churchill, Siobhan M. Child Abuse as a Determinant of Barriers to HIV Status Disclosure Among Women in Canada.

Degree: 2018, University of Western Ontario

 Introduction: In Canada, people with HIV are legally required to disclose their HIV status to their sexual partners prior to having sex that presents a… (more)

Subjects/Keywords: Women with HIV; violence; HIV disclosure; intersectionality; propensity scores; generalized boosted modelling; Epidemiology

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APA (6th Edition):

Churchill, S. M. (2018). Child Abuse as a Determinant of Barriers to HIV Status Disclosure Among Women in Canada. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/5860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Churchill, Siobhan M. “Child Abuse as a Determinant of Barriers to HIV Status Disclosure Among Women in Canada.” 2018. Thesis, University of Western Ontario. Accessed September 26, 2020. https://ir.lib.uwo.ca/etd/5860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Churchill, Siobhan M. “Child Abuse as a Determinant of Barriers to HIV Status Disclosure Among Women in Canada.” 2018. Web. 26 Sep 2020.

Vancouver:

Churchill SM. Child Abuse as a Determinant of Barriers to HIV Status Disclosure Among Women in Canada. [Internet] [Thesis]. University of Western Ontario; 2018. [cited 2020 Sep 26]. Available from: https://ir.lib.uwo.ca/etd/5860.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Churchill SM. Child Abuse as a Determinant of Barriers to HIV Status Disclosure Among Women in Canada. [Thesis]. University of Western Ontario; 2018. Available from: https://ir.lib.uwo.ca/etd/5860

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Louisville

24. Craycroft, John. Propensity score methods : a simulation and case study involving breast cancer patients.

Degree: MS, 2016, University of Louisville

  Observational data presents unique challenges for analysis that are not encountered with experimental data resulting from carefully designed randomized controlled trials. Selection bias and… (more)

Subjects/Keywords: propensity scores; causal inference; observational data; cardiotoxicity; breast cancer; average treatment effect; Applied Statistics; Biostatistics; Statistical Methodology

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APA (6th Edition):

Craycroft, J. (2016). Propensity score methods : a simulation and case study involving breast cancer patients. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2460 ; https://ir.library.louisville.edu/etd/2460

Chicago Manual of Style (16th Edition):

Craycroft, John. “Propensity score methods : a simulation and case study involving breast cancer patients.” 2016. Masters Thesis, University of Louisville. Accessed September 26, 2020. 10.18297/etd/2460 ; https://ir.library.louisville.edu/etd/2460.

MLA Handbook (7th Edition):

Craycroft, John. “Propensity score methods : a simulation and case study involving breast cancer patients.” 2016. Web. 26 Sep 2020.

Vancouver:

Craycroft J. Propensity score methods : a simulation and case study involving breast cancer patients. [Internet] [Masters thesis]. University of Louisville; 2016. [cited 2020 Sep 26]. Available from: 10.18297/etd/2460 ; https://ir.library.louisville.edu/etd/2460.

Council of Science Editors:

Craycroft J. Propensity score methods : a simulation and case study involving breast cancer patients. [Masters Thesis]. University of Louisville; 2016. Available from: 10.18297/etd/2460 ; https://ir.library.louisville.edu/etd/2460


UCLA

25. Tsui, Jason. The Effect of Grading in School Accountability Systems: An Investigation Using Propensity Scores In Second-order Growth Models.

Degree: Education, 2018, UCLA

 The development and implementation of school-level accountability systems has been mandated by recent federal law. However, there is a dearth of research into the construct… (more)

Subjects/Keywords: Social research; Education; Bayesian; New York City Progress Report; propensity scores; school accountability; school quality; second-order latent growth model

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APA (6th Edition):

Tsui, J. (2018). The Effect of Grading in School Accountability Systems: An Investigation Using Propensity Scores In Second-order Growth Models. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3rg4h5hx

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tsui, Jason. “The Effect of Grading in School Accountability Systems: An Investigation Using Propensity Scores In Second-order Growth Models.” 2018. Thesis, UCLA. Accessed September 26, 2020. http://www.escholarship.org/uc/item/3rg4h5hx.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tsui, Jason. “The Effect of Grading in School Accountability Systems: An Investigation Using Propensity Scores In Second-order Growth Models.” 2018. Web. 26 Sep 2020.

Vancouver:

Tsui J. The Effect of Grading in School Accountability Systems: An Investigation Using Propensity Scores In Second-order Growth Models. [Internet] [Thesis]. UCLA; 2018. [cited 2020 Sep 26]. Available from: http://www.escholarship.org/uc/item/3rg4h5hx.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tsui J. The Effect of Grading in School Accountability Systems: An Investigation Using Propensity Scores In Second-order Growth Models. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/3rg4h5hx

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Le Borgne, Florent. Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT : Conception of an easy to use application allowing to perform adjusted statistical analysis for the valorization of observational data from cohorts of chronic disease : application to the DIVAT cohort.

Degree: Docteur es, Recherche clinique, innovation technologique, santé publique, 2016, Nantes

En recherche médicale, les cohortes permettent de mieux comprendre l'évolution d'une pathologie et d'améliorer la prise en charge des patients. La mise en évidence de… (more)

Subjects/Keywords: Scores de propension; Facteurs de confusion; Données censurées; Courbes ROC; Propensity score; Confounding factors; Censored data; ROC curves

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Le Borgne, F. (2016). Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT : Conception of an easy to use application allowing to perform adjusted statistical analysis for the valorization of observational data from cohorts of chronic disease : application to the DIVAT cohort. (Doctoral Dissertation). Nantes. Retrieved from http://www.theses.fr/2016NANT1003

Chicago Manual of Style (16th Edition):

Le Borgne, Florent. “Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT : Conception of an easy to use application allowing to perform adjusted statistical analysis for the valorization of observational data from cohorts of chronic disease : application to the DIVAT cohort.” 2016. Doctoral Dissertation, Nantes. Accessed September 26, 2020. http://www.theses.fr/2016NANT1003.

MLA Handbook (7th Edition):

Le Borgne, Florent. “Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT : Conception of an easy to use application allowing to perform adjusted statistical analysis for the valorization of observational data from cohorts of chronic disease : application to the DIVAT cohort.” 2016. Web. 26 Sep 2020.

Vancouver:

Le Borgne F. Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT : Conception of an easy to use application allowing to perform adjusted statistical analysis for the valorization of observational data from cohorts of chronic disease : application to the DIVAT cohort. [Internet] [Doctoral dissertation]. Nantes; 2016. [cited 2020 Sep 26]. Available from: http://www.theses.fr/2016NANT1003.

Council of Science Editors:

Le Borgne F. Conception d’un outil simple d'utilisation pour réaliser des analyses statistiques ajustées valorisant les données de cohortes observationnelles de pathologies chroniques : application à la cohorte DIVAT : Conception of an easy to use application allowing to perform adjusted statistical analysis for the valorization of observational data from cohorts of chronic disease : application to the DIVAT cohort. [Doctoral Dissertation]. Nantes; 2016. Available from: http://www.theses.fr/2016NANT1003


University of Michigan

27. Kelcey, Benjamin M. Improving and Assessing Propensity Score Based Causal Inferences in Multilevel and Nonlinear Settings.

Degree: PhD, Education Studies, 2009, University of Michigan

 Recent calls for accountability have focused on scientifically based research that isolates causal mechanisms to inform both the policies and practices of education. A major… (more)

Subjects/Keywords: Multilevel Propensity Scores; Variable Selection in Propensity Scores; Teacher Quality and Knowledge; Sensitivity Analysis; Education; Statistics and Numeric Data; Social Sciences

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APA (6th Edition):

Kelcey, B. M. (2009). Improving and Assessing Propensity Score Based Causal Inferences in Multilevel and Nonlinear Settings. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/63716

Chicago Manual of Style (16th Edition):

Kelcey, Benjamin M. “Improving and Assessing Propensity Score Based Causal Inferences in Multilevel and Nonlinear Settings.” 2009. Doctoral Dissertation, University of Michigan. Accessed September 26, 2020. http://hdl.handle.net/2027.42/63716.

MLA Handbook (7th Edition):

Kelcey, Benjamin M. “Improving and Assessing Propensity Score Based Causal Inferences in Multilevel and Nonlinear Settings.” 2009. Web. 26 Sep 2020.

Vancouver:

Kelcey BM. Improving and Assessing Propensity Score Based Causal Inferences in Multilevel and Nonlinear Settings. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/2027.42/63716.

Council of Science Editors:

Kelcey BM. Improving and Assessing Propensity Score Based Causal Inferences in Multilevel and Nonlinear Settings. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/63716

28. Giaconi Smoje, Valentina. Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile.

Degree: Docteur es, Sciences de l'Education, 2016, Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas

 Cette thèse de doctorat est consacrée à la modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili.… (more)

Subjects/Keywords: Modèles multiniveaux; Appariement des scores de propension; Imputation multiple; Disciplines scientifiques; Effets-Écoles; Trajectoires des élèves; Multilevel modeling; Propensity score matching; Multiple imputation; Science disciplines; School effects; Students' trajectories; 370

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APA (6th Edition):

Giaconi Smoje, V. (2016). Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile. (Doctoral Dissertation). Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas. Retrieved from http://www.theses.fr/2016GREAH040

Chicago Manual of Style (16th Edition):

Giaconi Smoje, Valentina. “Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile.” 2016. Doctoral Dissertation, Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas. Accessed September 26, 2020. http://www.theses.fr/2016GREAH040.

MLA Handbook (7th Edition):

Giaconi Smoje, Valentina. “Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile.” 2016. Web. 26 Sep 2020.

Vancouver:

Giaconi Smoje V. Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile. [Internet] [Doctoral dissertation]. Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas; 2016. [cited 2020 Sep 26]. Available from: http://www.theses.fr/2016GREAH040.

Council of Science Editors:

Giaconi Smoje V. Modélisation statistique de l'impact des environnements académiques sur les croyances et la réussite des élèves au Chili : Statistical modeling of the impact of academic environments on student’s beliefs and achievement in Chile. [Doctoral Dissertation]. Grenoble Alpes; Universidad de Chile. Facultad de ciencias físicas y matemáticas; 2016. Available from: http://www.theses.fr/2016GREAH040


University of Michigan

29. An, Hyonggin. Robust model -based analysis of multivariate data with missing values.

Degree: PhD, Statistics, 2004, University of Michigan

 The regression prediction method for inference from multivariate data with missing values is most useful when the covariates are predictive of the missing values and… (more)

Subjects/Keywords: Analysis; Missing Values; Multivariate Data; Propensity Scores; Robust Model-based

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

An, H. (2004). Robust model -based analysis of multivariate data with missing values. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124350

Chicago Manual of Style (16th Edition):

An, Hyonggin. “Robust model -based analysis of multivariate data with missing values.” 2004. Doctoral Dissertation, University of Michigan. Accessed September 26, 2020. http://hdl.handle.net/2027.42/124350.

MLA Handbook (7th Edition):

An, Hyonggin. “Robust model -based analysis of multivariate data with missing values.” 2004. Web. 26 Sep 2020.

Vancouver:

An H. Robust model -based analysis of multivariate data with missing values. [Internet] [Doctoral dissertation]. University of Michigan; 2004. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/2027.42/124350.

Council of Science Editors:

An H. Robust model -based analysis of multivariate data with missing values. [Doctoral Dissertation]. University of Michigan; 2004. Available from: http://hdl.handle.net/2027.42/124350

30. Silver, Ian. Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences.

Degree: PhD, Education, Criminal Justice, and Human Services: Criminal Justice, 2019, University of Cincinnati

 Objectives: Social scientists employ various statistical techniques to approximate the causal association between two interrelated constructs. Although these methodologies have been useful for the advancement… (more)

Subjects/Keywords: Criminology; Polygenic Risk Scores; Propensity Score Matching; Criminology; Social Sciences

…50 3.4. Genetically Adjusted Propensity Scores (GAPS)… …56 3.4.1. Estimating genetically adjusted propensity scores (GAPS)… …58 vii 3.4.2. Assumptions of genetically adjusted propensity scores (GAPS)… …established by a true experiment. This technique combines polygenic risk scores with propensity… …scores to create genetically adjusted propensity scores (GAPS). As designed, GAPS… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Silver, I. (2019). Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561996445863208

Chicago Manual of Style (16th Edition):

Silver, Ian. “Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences.” 2019. Doctoral Dissertation, University of Cincinnati. Accessed September 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561996445863208.

MLA Handbook (7th Edition):

Silver, Ian. “Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences.” 2019. Web. 26 Sep 2020.

Vancouver:

Silver I. Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences. [Internet] [Doctoral dissertation]. University of Cincinnati; 2019. [cited 2020 Sep 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561996445863208.

Council of Science Editors:

Silver I. Genetically Adjusted Propensity Score Matching: A Proposal of a Novel Analytical Tool to Help Close the Gap between Non-experimental Designs and True Experiments in the Social Sciences. [Doctoral Dissertation]. University of Cincinnati; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1561996445863208

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