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You searched for subject:(causal inference). Showing records 1 – 30 of 183 total matches.

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Wake Forest University

1. Bean, Naomi. Causal Inference: A New Name for an Old Concept?.

Degree: 2017, Wake Forest University

 Studies in perceptual psychology and neuroscience have investigated multisensory integration and have come to differing conclusions regarding the mechanisms behind the phenomenon. Though this stark… (more)

Subjects/Keywords: Causal Inference

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

APA (6th Edition):

Bean, N. (2017). Causal Inference: A New Name for an Old Concept?. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/82249

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):

Bean, Naomi. “Causal Inference: A New Name for an Old Concept?.” 2017. Thesis, Wake Forest University. Accessed June 25, 2019. http://hdl.handle.net/10339/82249.

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

MLA Handbook (7th Edition):

Bean, Naomi. “Causal Inference: A New Name for an Old Concept?.” 2017. Web. 25 Jun 2019.

Vancouver:

Bean N. Causal Inference: A New Name for an Old Concept?. [Internet] [Thesis]. Wake Forest University; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10339/82249.

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

Council of Science Editors:

Bean N. Causal Inference: A New Name for an Old Concept?. [Thesis]. Wake Forest University; 2017. Available from: http://hdl.handle.net/10339/82249

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


Kansas State University

2. Mahmood, Sharif. Finding common support and assessing matching methods for causal inference.

Degree: PhD, Department of Statistics, 2017, Kansas State University

 This dissertation presents an approach to assess and validate causal inference tools to es- timate the causal effect of a treatment. Finding treatment effects in… (more)

Subjects/Keywords: Causal inference

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APA (6th Edition):

Mahmood, S. (2017). Finding common support and assessing matching methods for causal inference. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/36190

Chicago Manual of Style (16th Edition):

Mahmood, Sharif. “Finding common support and assessing matching methods for causal inference.” 2017. Doctoral Dissertation, Kansas State University. Accessed June 25, 2019. http://hdl.handle.net/2097/36190.

MLA Handbook (7th Edition):

Mahmood, Sharif. “Finding common support and assessing matching methods for causal inference.” 2017. Web. 25 Jun 2019.

Vancouver:

Mahmood S. Finding common support and assessing matching methods for causal inference. [Internet] [Doctoral dissertation]. Kansas State University; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2097/36190.

Council of Science Editors:

Mahmood S. Finding common support and assessing matching methods for causal inference. [Doctoral Dissertation]. Kansas State University; 2017. Available from: http://hdl.handle.net/2097/36190

3. Yue, Mun Sang. Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes.

Degree: Department of Biostatistics, 2017, Brown University

 The use of diagnostic tests and biomarkers is an essential part of medical care, and plays an important role in guiding therapy decisions in the… (more)

Subjects/Keywords: causal inference

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APA (6th Edition):

Yue, M. S. (2017). Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733573/

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):

Yue, Mun Sang. “Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes.” 2017. Thesis, Brown University. Accessed June 25, 2019. https://repository.library.brown.edu/studio/item/bdr:733573/.

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

MLA Handbook (7th Edition):

Yue, Mun Sang. “Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes.” 2017. Web. 25 Jun 2019.

Vancouver:

Yue MS. Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes. [Internet] [Thesis]. Brown University; 2017. [cited 2019 Jun 25]. Available from: https://repository.library.brown.edu/studio/item/bdr:733573/.

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

Council of Science Editors:

Yue MS. Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733573/

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

4. Lam, Patrick Kenneth. Estimating Individual Causal Effects.

Degree: PhD, Government, 2013, Harvard University

Most empirical work focuses on the estimation of average treatment effects (ATE). In this dissertation, I argue for a different way of thinking about causal(more)

Subjects/Keywords: Political Science; Statistics; causal inference

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APA (6th Edition):

Lam, P. K. (2013). Estimating Individual Causal Effects. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181234

Chicago Manual of Style (16th Edition):

Lam, Patrick Kenneth. “Estimating Individual Causal Effects.” 2013. Doctoral Dissertation, Harvard University. Accessed June 25, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181234.

MLA Handbook (7th Edition):

Lam, Patrick Kenneth. “Estimating Individual Causal Effects.” 2013. Web. 25 Jun 2019.

Vancouver:

Lam PK. Estimating Individual Causal Effects. [Internet] [Doctoral dissertation]. Harvard University; 2013. [cited 2019 Jun 25]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181234.

Council of Science Editors:

Lam PK. Estimating Individual Causal Effects. [Doctoral Dissertation]. Harvard University; 2013. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181234


University of Waterloo

5. Shu, Di. Causal Inference with Measurement Error.

Degree: 2018, University of Waterloo

Causal inference methods have been widely used in biomedical sciences and social sciences, among many others. With different assumptions, various methods have been proposed to… (more)

Subjects/Keywords: causal inference; measurement error

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APA (6th Edition):

Shu, D. (2018). Causal Inference with Measurement Error. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13232

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):

Shu, Di. “Causal Inference with Measurement Error.” 2018. Thesis, University of Waterloo. Accessed June 25, 2019. http://hdl.handle.net/10012/13232.

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

MLA Handbook (7th Edition):

Shu, Di. “Causal Inference with Measurement Error.” 2018. Web. 25 Jun 2019.

Vancouver:

Shu D. Causal Inference with Measurement Error. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10012/13232.

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

Council of Science Editors:

Shu D. Causal Inference with Measurement Error. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13232

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

6. Clemens, Clayton. A causal model of writing competence.

Degree: 2017, Athabasca University

Traditionally, assessing competence in English composition involves ignoring most of the steps in the writing process and focusing only on the final submission. The writing… (more)

Subjects/Keywords: Writing; Causal inference; Simulation; Analytics

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APA (6th Edition):

Clemens, C. (2017). A causal model of writing competence. (Thesis). Athabasca University. Retrieved from http://hdl.handle.net/10791/233

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):

Clemens, Clayton. “A causal model of writing competence.” 2017. Thesis, Athabasca University. Accessed June 25, 2019. http://hdl.handle.net/10791/233.

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

MLA Handbook (7th Edition):

Clemens, Clayton. “A causal model of writing competence.” 2017. Web. 25 Jun 2019.

Vancouver:

Clemens C. A causal model of writing competence. [Internet] [Thesis]. Athabasca University; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10791/233.

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

Council of Science Editors:

Clemens C. A causal model of writing competence. [Thesis]. Athabasca University; 2017. Available from: http://hdl.handle.net/10791/233

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


University of Colorado

7. Wolsiefer, Katherine J. Do We Trust Our Gut? The Causal Relationship between Implicit Group Attitudes and Behavior.

Degree: PhD, 2017, University of Colorado

  Considerable evidence suggests that implicit attitudes co-vary with behavior (Greenwald, Poehlman, Uhlmann & Banaji, 2009). Within the domain of stereotyping and prejudice, in particular,… (more)

Subjects/Keywords: causal inference; implicit attitudes; Psychology; Social Psychology

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APA (6th Edition):

Wolsiefer, K. J. (2017). Do We Trust Our Gut? The Causal Relationship between Implicit Group Attitudes and Behavior. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/psyc_gradetds/119

Chicago Manual of Style (16th Edition):

Wolsiefer, Katherine J. “Do We Trust Our Gut? The Causal Relationship between Implicit Group Attitudes and Behavior.” 2017. Doctoral Dissertation, University of Colorado. Accessed June 25, 2019. http://scholar.colorado.edu/psyc_gradetds/119.

MLA Handbook (7th Edition):

Wolsiefer, Katherine J. “Do We Trust Our Gut? The Causal Relationship between Implicit Group Attitudes and Behavior.” 2017. Web. 25 Jun 2019.

Vancouver:

Wolsiefer KJ. Do We Trust Our Gut? The Causal Relationship between Implicit Group Attitudes and Behavior. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2019 Jun 25]. Available from: http://scholar.colorado.edu/psyc_gradetds/119.

Council of Science Editors:

Wolsiefer KJ. Do We Trust Our Gut? The Causal Relationship between Implicit Group Attitudes and Behavior. [Doctoral Dissertation]. University of Colorado; 2017. Available from: http://scholar.colorado.edu/psyc_gradetds/119


University of California – Berkeley

8. Decker, Anna. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care.

Degree: Biostatistics, 2014, University of California – Berkeley

 Trauma injury is one of the leading causes of death in the United States, accounting for over 120,000 deaths in 2010 according to the CDC.… (more)

Subjects/Keywords: Biostatistics; causal inference; machine learning; semiparametric

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APA (6th Edition):

Decker, A. (2014). Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/5x10t818

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):

Decker, Anna. “Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care.” 2014. Thesis, University of California – Berkeley. Accessed June 25, 2019. http://www.escholarship.org/uc/item/5x10t818.

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

MLA Handbook (7th Edition):

Decker, Anna. “Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care.” 2014. Web. 25 Jun 2019.

Vancouver:

Decker A. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/5x10t818.

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

Council of Science Editors:

Decker A. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. [Thesis]. University of California – Berkeley; 2014. Available from: http://www.escholarship.org/uc/item/5x10t818

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


University of Sydney

9. Babbar, Sakshi. Inferring Anomalies from Data using Bayesian Networks .

Degree: 2013, University of Sydney

 Existing studies on data mining has largely focused on the design of measures and algorithms to identify outliers in large and high dimensional categorical and… (more)

Subjects/Keywords: Bayesian networks; outlier; causal inference; knowledge discovery

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APA (6th Edition):

Babbar, S. (2013). Inferring Anomalies from Data using Bayesian Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9371

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):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Thesis, University of Sydney. Accessed June 25, 2019. http://hdl.handle.net/2123/9371.

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

MLA Handbook (7th Edition):

Babbar, Sakshi. “Inferring Anomalies from Data using Bayesian Networks .” 2013. Web. 25 Jun 2019.

Vancouver:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2123/9371.

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

Council of Science Editors:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Thesis]. University of Sydney; 2013. Available from: http://hdl.handle.net/2123/9371

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


Harvard University

10. Zajonc, Tristan. Essays on Causal Inference for Public Policy.

Degree: PhD, Public Policy, 2012, Harvard University

 Effective policymaking requires understanding the causal effects of competing proposals. Relevant causal quantities include proposals' expected effect on different groups of recipients, the impact of… (more)

Subjects/Keywords: causal inference; economics; program evaluation; statistics; education

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APA (6th Edition):

Zajonc, T. (2012). Essays on Causal Inference for Public Policy. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:9368030

Chicago Manual of Style (16th Edition):

Zajonc, Tristan. “Essays on Causal Inference for Public Policy.” 2012. Doctoral Dissertation, Harvard University. Accessed June 25, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:9368030.

MLA Handbook (7th Edition):

Zajonc, Tristan. “Essays on Causal Inference for Public Policy.” 2012. Web. 25 Jun 2019.

Vancouver:

Zajonc T. Essays on Causal Inference for Public Policy. [Internet] [Doctoral dissertation]. Harvard University; 2012. [cited 2019 Jun 25]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9368030.

Council of Science Editors:

Zajonc T. Essays on Causal Inference for Public Policy. [Doctoral Dissertation]. Harvard University; 2012. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:9368030


Kansas State University

11. Er, Emrah. Applications of machine learning to agricultural land values: prediction and causal inference.

Degree: PhD, Department of Agricultural Economics, 2018, Kansas State University

 This dissertation focuses on the prediction of agricultural land values and the effects of water rights on land values using machine learning algorithms and hedonic… (more)

Subjects/Keywords: Land Values; Machine Learning; Prediction; Causal Inference

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APA (6th Edition):

Er, E. (2018). Applications of machine learning to agricultural land values: prediction and causal inference. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/39313

Chicago Manual of Style (16th Edition):

Er, Emrah. “Applications of machine learning to agricultural land values: prediction and causal inference.” 2018. Doctoral Dissertation, Kansas State University. Accessed June 25, 2019. http://hdl.handle.net/2097/39313.

MLA Handbook (7th Edition):

Er, Emrah. “Applications of machine learning to agricultural land values: prediction and causal inference.” 2018. Web. 25 Jun 2019.

Vancouver:

Er E. Applications of machine learning to agricultural land values: prediction and causal inference. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/2097/39313.

Council of Science Editors:

Er E. Applications of machine learning to agricultural land values: prediction and causal inference. [Doctoral Dissertation]. Kansas State University; 2018. Available from: http://hdl.handle.net/2097/39313


Princeton University

12. Li, Chenchuan. Inference in Regressions with Many Controls .

Degree: PhD, 2016, Princeton University

 In this thesis, we consider inference on a scalar coefficient of interest in a linear regression model with many potential control variables. Without any constraint… (more)

Subjects/Keywords: Bound; Causal; Control; Inference; Regressions; Sparsity

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APA (6th Edition):

Li, C. (2016). Inference in Regressions with Many Controls . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01w3763925c

Chicago Manual of Style (16th Edition):

Li, Chenchuan. “Inference in Regressions with Many Controls .” 2016. Doctoral Dissertation, Princeton University. Accessed June 25, 2019. http://arks.princeton.edu/ark:/88435/dsp01w3763925c.

MLA Handbook (7th Edition):

Li, Chenchuan. “Inference in Regressions with Many Controls .” 2016. Web. 25 Jun 2019.

Vancouver:

Li C. Inference in Regressions with Many Controls . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2019 Jun 25]. Available from: http://arks.princeton.edu/ark:/88435/dsp01w3763925c.

Council of Science Editors:

Li C. Inference in Regressions with Many Controls . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp01w3763925c


University of Minnesota

13. Verdoliva Boatman, Jeffrey. Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error.

Degree: PhD, Biostatistics, 2017, University of Minnesota

 Inferring and explaining causal relationships is frequently one of the primary goals in public health research. Randomized controlled trials (RCTs) are the gold standard for… (more)

Subjects/Keywords: Causal Inference; Inverse Probability Weighting; Noncompliance

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APA (6th Edition):

Verdoliva Boatman, J. (2017). Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/190482

Chicago Manual of Style (16th Edition):

Verdoliva Boatman, Jeffrey. “Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error.” 2017. Doctoral Dissertation, University of Minnesota. Accessed June 25, 2019. http://hdl.handle.net/11299/190482.

MLA Handbook (7th Edition):

Verdoliva Boatman, Jeffrey. “Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error.” 2017. Web. 25 Jun 2019.

Vancouver:

Verdoliva Boatman J. Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error. [Internet] [Doctoral dissertation]. University of Minnesota; 2017. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/11299/190482.

Council of Science Editors:

Verdoliva Boatman J. Causal Estimators for Non-Standard Scenarios: Individual Versus Population-Level Causal Effects in Transplantation Treatment Regimes, and Clinical Trials where Compliance is Measured with Error. [Doctoral Dissertation]. University of Minnesota; 2017. Available from: http://hdl.handle.net/11299/190482


University of Waterloo

14. Xie, Yuying. Causal Inference with Covariate Balance Optimization.

Degree: 2018, University of Waterloo

Causal inference is a popular problem in biostatistics, economics, and health science studies. The goal of this thesis is to develop new methods for the… (more)

Subjects/Keywords: Causal inference; Covariate balancing; Propensity score

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APA (6th Edition):

Xie, Y. (2018). Causal Inference with Covariate Balance Optimization. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14194

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):

Xie, Yuying. “Causal Inference with Covariate Balance Optimization.” 2018. Thesis, University of Waterloo. Accessed June 25, 2019. http://hdl.handle.net/10012/14194.

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

MLA Handbook (7th Edition):

Xie, Yuying. “Causal Inference with Covariate Balance Optimization.” 2018. Web. 25 Jun 2019.

Vancouver:

Xie Y. Causal Inference with Covariate Balance Optimization. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10012/14194.

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

Council of Science Editors:

Xie Y. Causal Inference with Covariate Balance Optimization. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/14194

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


UCLA

15. Brendel, Paul Christian. Applications of Multi-Bias Analysis in Studies of the Associations between Parkinson’s Disease and Cancer.

Degree: Epidemiology, 2019, UCLA

 Nonrandomized epidemiologic studies face many obstacles in attempting to quantify the effect of an exposure on an outcome. Studies of the associations between Parkinson’s disease… (more)

Subjects/Keywords: Epidemiology; Statistics; bias analysis; causal inference

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APA (6th Edition):

Brendel, P. C. (2019). Applications of Multi-Bias Analysis in Studies of the Associations between Parkinson’s Disease and Cancer. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/4c50w909

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):

Brendel, Paul Christian. “Applications of Multi-Bias Analysis in Studies of the Associations between Parkinson’s Disease and Cancer.” 2019. Thesis, UCLA. Accessed June 25, 2019. http://www.escholarship.org/uc/item/4c50w909.

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

MLA Handbook (7th Edition):

Brendel, Paul Christian. “Applications of Multi-Bias Analysis in Studies of the Associations between Parkinson’s Disease and Cancer.” 2019. Web. 25 Jun 2019.

Vancouver:

Brendel PC. Applications of Multi-Bias Analysis in Studies of the Associations between Parkinson’s Disease and Cancer. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/4c50w909.

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

Council of Science Editors:

Brendel PC. Applications of Multi-Bias Analysis in Studies of the Associations between Parkinson’s Disease and Cancer. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/4c50w909

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


University of New South Wales

16. Lee, Hopin. Understanding causal mechanisms in back pain.

Degree: Prince of Wales Clinical School, 2017, University of New South Wales

 Background: Global estimates show that back pain is the leading cause of disability among all documented health conditions. Despite this, there is no clear understanding… (more)

Subjects/Keywords: Musculoskeletal conditions; Back pain; Causal inference

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APA (6th Edition):

Lee, H. (2017). Understanding causal mechanisms in back pain. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:45146/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Lee, Hopin. “Understanding causal mechanisms in back pain.” 2017. Doctoral Dissertation, University of New South Wales. Accessed June 25, 2019. http://handle.unsw.edu.au/1959.4/57923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:45146/SOURCE02?view=true.

MLA Handbook (7th Edition):

Lee, Hopin. “Understanding causal mechanisms in back pain.” 2017. Web. 25 Jun 2019.

Vancouver:

Lee H. Understanding causal mechanisms in back pain. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2019 Jun 25]. Available from: http://handle.unsw.edu.au/1959.4/57923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:45146/SOURCE02?view=true.

Council of Science Editors:

Lee H. Understanding causal mechanisms in back pain. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57923 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:45146/SOURCE02?view=true

17. Neves, Andreia Luísa. Análise da diferença do efeito de um argumento contrafactual e de um argumento causal no processo de persuasão.

Degree: 2009, ISPA

Este estudo foi idealizado com o propósito de analisar a diferença no grau de mudança de atitude, caso exista, quando as pessoas são expostas a… (more)

Subjects/Keywords: Persuasão; Pensamento contrafactual; Inferência causal; Persuasion; Counterfactual thought; Causal inference; Psicologia Social e das Organizações

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

APA (6th Edition):

Neves, A. L. (2009). Análise da diferença do efeito de um argumento contrafactual e de um argumento causal no processo de persuasão. (Thesis). ISPA. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ispa.pt:10400.12/4107

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):

Neves, Andreia Luísa. “Análise da diferença do efeito de um argumento contrafactual e de um argumento causal no processo de persuasão.” 2009. Thesis, ISPA. Accessed June 25, 2019. http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ispa.pt:10400.12/4107.

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

MLA Handbook (7th Edition):

Neves, Andreia Luísa. “Análise da diferença do efeito de um argumento contrafactual e de um argumento causal no processo de persuasão.” 2009. Web. 25 Jun 2019.

Vancouver:

Neves AL. Análise da diferença do efeito de um argumento contrafactual e de um argumento causal no processo de persuasão. [Internet] [Thesis]. ISPA; 2009. [cited 2019 Jun 25]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ispa.pt:10400.12/4107.

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

Council of Science Editors:

Neves AL. Análise da diferença do efeito de um argumento contrafactual e de um argumento causal no processo de persuasão. [Thesis]. ISPA; 2009. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ispa.pt:10400.12/4107

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


University of Manchester

18. Odondi, Lang'O. Causal modelling of survival data with informative noncompliance.

Degree: PhD, 2011, University of Manchester

 Noncompliance to treatment allocation is likely to complicate estimation of causal effects in clinical trials. The ubiquitous nonrandom phenomenon of noncompliance renders per-protocol and as-… (more)

Subjects/Keywords: 610.21; Bias; Causal inference; Causal risk ratio; Clinical trials; Noncompliance; Principal stratification; Structural models; Survival

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

APA (6th Edition):

Odondi, L. (2011). Causal modelling of survival data with informative noncompliance. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/causal-modelling-of-survival-data-with-informative-noncompliance(74f40dc0-e5d1-46c0-ab2f-ac42a3425ac7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538392

Chicago Manual of Style (16th Edition):

Odondi, Lang'O. “Causal modelling of survival data with informative noncompliance.” 2011. Doctoral Dissertation, University of Manchester. Accessed June 25, 2019. https://www.research.manchester.ac.uk/portal/en/theses/causal-modelling-of-survival-data-with-informative-noncompliance(74f40dc0-e5d1-46c0-ab2f-ac42a3425ac7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538392.

MLA Handbook (7th Edition):

Odondi, Lang'O. “Causal modelling of survival data with informative noncompliance.” 2011. Web. 25 Jun 2019.

Vancouver:

Odondi L. Causal modelling of survival data with informative noncompliance. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Jun 25]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/causal-modelling-of-survival-data-with-informative-noncompliance(74f40dc0-e5d1-46c0-ab2f-ac42a3425ac7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538392.

Council of Science Editors:

Odondi L. Causal modelling of survival data with informative noncompliance. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/causal-modelling-of-survival-data-with-informative-noncompliance(74f40dc0-e5d1-46c0-ab2f-ac42a3425ac7).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.538392


University of Manchester

19. Odondi, Lang'O. Causal modelling of survival data with informative noncompliance.

Degree: 2011, University of Manchester

 Noncompliance to treatment allocation is likely to complicate estimation of causal effects in clinical trials. The ubiquitous nonrandom phenomenon of noncompliance renders per-protocol and as-treated… (more)

Subjects/Keywords: Bias; Causal inference; Causal risk ratio; Clinical trials; Noncompliance; Principal stratification; Structural models; Survival

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

APA (6th Edition):

Odondi, L. (2011). Causal modelling of survival data with informative noncompliance. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124807

Chicago Manual of Style (16th Edition):

Odondi, Lang'O. “Causal modelling of survival data with informative noncompliance.” 2011. Doctoral Dissertation, University of Manchester. Accessed June 25, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124807.

MLA Handbook (7th Edition):

Odondi, Lang'O. “Causal modelling of survival data with informative noncompliance.” 2011. Web. 25 Jun 2019.

Vancouver:

Odondi L. Causal modelling of survival data with informative noncompliance. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2019 Jun 25]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124807.

Council of Science Editors:

Odondi L. Causal modelling of survival data with informative noncompliance. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:124807

20. Åström, Frida. The Left Hemisphere Interpreter and Confabulation : a Comparison.

Degree: Humanities and Informatics, 2011, University of Skövde

  The left hemisphere interpreter refers to a function in the left hemisphere of the brain that search for and produce causal explanations for events,… (more)

Subjects/Keywords: Left hemisphere interpreter; Confabulation; Split-brain; Causal perception; Causal inference; Delusion; Anosognosia

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

APA (6th Edition):

Åström, F. (2011). The Left Hemisphere Interpreter and Confabulation : a Comparison. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5232

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):

Åström, Frida. “The Left Hemisphere Interpreter and Confabulation : a Comparison.” 2011. Thesis, University of Skövde. Accessed June 25, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5232.

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

MLA Handbook (7th Edition):

Åström, Frida. “The Left Hemisphere Interpreter and Confabulation : a Comparison.” 2011. Web. 25 Jun 2019.

Vancouver:

Åström F. The Left Hemisphere Interpreter and Confabulation : a Comparison. [Internet] [Thesis]. University of Skövde; 2011. [cited 2019 Jun 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5232.

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

Council of Science Editors:

Åström F. The Left Hemisphere Interpreter and Confabulation : a Comparison. [Thesis]. University of Skövde; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5232

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


University of Saskatchewan

21. Kristtorn, Sonje. Causal assumptions : some responses to Nancy Cartwright.

Degree: 2007, University of Saskatchewan

 The theories of causality put forward by Pearl and the Spirtes-Glymour-Scheines group have entered the mainstream of statistical thinking. These theories show that under ideal… (more)

Subjects/Keywords: causal inference; causal markov condition; faithfulness assumption; causal graphs

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

APA (6th Edition):

Kristtorn, S. (2007). Causal assumptions : some responses to Nancy Cartwright. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-07182007-105752

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):

Kristtorn, Sonje. “Causal assumptions : some responses to Nancy Cartwright.” 2007. Thesis, University of Saskatchewan. Accessed June 25, 2019. http://hdl.handle.net/10388/etd-07182007-105752.

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

MLA Handbook (7th Edition):

Kristtorn, Sonje. “Causal assumptions : some responses to Nancy Cartwright.” 2007. Web. 25 Jun 2019.

Vancouver:

Kristtorn S. Causal assumptions : some responses to Nancy Cartwright. [Internet] [Thesis]. University of Saskatchewan; 2007. [cited 2019 Jun 25]. Available from: http://hdl.handle.net/10388/etd-07182007-105752.

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

Council of Science Editors:

Kristtorn S. Causal assumptions : some responses to Nancy Cartwright. [Thesis]. University of Saskatchewan; 2007. Available from: http://hdl.handle.net/10388/etd-07182007-105752

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


University of Pennsylvania

22. Fogarty, Colin Burton. Modern Optimization in Observational Studies.

Degree: 2016, University of Pennsylvania

 Perhaps the best known use of modern techniques for optimization in observational studies is within matching algorithms, wherein treated units are placed into matched sets… (more)

Subjects/Keywords: Causal Inference; Integer Programming; Matching; Observational Studies; Randomization Inference; Sensitivity Analysis; Statistics and Probability

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

APA (6th Edition):

Fogarty, C. B. (2016). Modern Optimization in Observational Studies. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1720

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):

Fogarty, Colin Burton. “Modern Optimization in Observational Studies.” 2016. Thesis, University of Pennsylvania. Accessed June 25, 2019. https://repository.upenn.edu/edissertations/1720.

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

MLA Handbook (7th Edition):

Fogarty, Colin Burton. “Modern Optimization in Observational Studies.” 2016. Web. 25 Jun 2019.

Vancouver:

Fogarty CB. Modern Optimization in Observational Studies. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2019 Jun 25]. Available from: https://repository.upenn.edu/edissertations/1720.

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

Council of Science Editors:

Fogarty CB. Modern Optimization in Observational Studies. [Thesis]. University of Pennsylvania; 2016. Available from: https://repository.upenn.edu/edissertations/1720

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


University of Pennsylvania

23. Ji, Xinyao. Causal Inference Using Variation In Treatment Over Time.

Degree: 2017, University of Pennsylvania

 This thesis and related research is motivated by my interest in understanding the use of time-varying treatments in causal inference from complex longitudinal data, which… (more)

Subjects/Keywords: Causal inference; Longitudinal Data; Mendelian Randomization; Randomization Inference; Unmeasured Confounding; Statistics and Probability

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

APA (6th Edition):

Ji, X. (2017). Causal Inference Using Variation In Treatment Over Time. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/2368

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):

Ji, Xinyao. “Causal Inference Using Variation In Treatment Over Time.” 2017. Thesis, University of Pennsylvania. Accessed June 25, 2019. https://repository.upenn.edu/edissertations/2368.

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

MLA Handbook (7th Edition):

Ji, Xinyao. “Causal Inference Using Variation In Treatment Over Time.” 2017. Web. 25 Jun 2019.

Vancouver:

Ji X. Causal Inference Using Variation In Treatment Over Time. [Internet] [Thesis]. University of Pennsylvania; 2017. [cited 2019 Jun 25]. Available from: https://repository.upenn.edu/edissertations/2368.

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

Council of Science Editors:

Ji X. Causal Inference Using Variation In Treatment Over Time. [Thesis]. University of Pennsylvania; 2017. Available from: https://repository.upenn.edu/edissertations/2368

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


Temple University

24. Gilbert, Elizabeth. The Validity of Summary Comorbidity Measures.

Degree: PhD, 2016, Temple University

Statistics

Prognostic scores, and more specifically comorbidity scores, are important and widely used measures in the health care field and in health services research. A… (more)

Subjects/Keywords: Statistics;

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

APA (6th Edition):

Gilbert, E. (2016). The Validity of Summary Comorbidity Measures. (Doctoral Dissertation). Temple University. Retrieved from http://digital.library.temple.edu/u?/p245801coll10,382997

Chicago Manual of Style (16th Edition):

Gilbert, Elizabeth. “The Validity of Summary Comorbidity Measures.” 2016. Doctoral Dissertation, Temple University. Accessed June 25, 2019. http://digital.library.temple.edu/u?/p245801coll10,382997.

MLA Handbook (7th Edition):

Gilbert, Elizabeth. “The Validity of Summary Comorbidity Measures.” 2016. Web. 25 Jun 2019.

Vancouver:

Gilbert E. The Validity of Summary Comorbidity Measures. [Internet] [Doctoral dissertation]. Temple University; 2016. [cited 2019 Jun 25]. Available from: http://digital.library.temple.edu/u?/p245801coll10,382997.

Council of Science Editors:

Gilbert E. The Validity of Summary Comorbidity Measures. [Doctoral Dissertation]. Temple University; 2016. Available from: http://digital.library.temple.edu/u?/p245801coll10,382997


University of Cincinnati

25. Reitler, Angela K. A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court.

Degree: PhD, Education, Criminal Justice, and Human Services: Criminal Justice, 2013, University of Cincinnati

 Being held in custody during the criminal case process has been linked to adverse case outcomes including sentence severity. Because an association between pretrial or… (more)

Subjects/Keywords: Criminology; federal; detention; sentencing; propensity score matching; confounding; causal inference

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

APA (6th Edition):

Reitler, A. K. (2013). A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377866571

Chicago Manual of Style (16th Edition):

Reitler, Angela K. “A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court.” 2013. Doctoral Dissertation, University of Cincinnati. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377866571.

MLA Handbook (7th Edition):

Reitler, Angela K. “A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court.” 2013. Web. 25 Jun 2019.

Vancouver:

Reitler AK. A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court. [Internet] [Doctoral dissertation]. University of Cincinnati; 2013. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377866571.

Council of Science Editors:

Reitler AK. A Mixed-Methodological Exploration of Potential Confounders in the Study of the Causal Effect of Detention Status on Sentence Severity in One Federal Court. [Doctoral Dissertation]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377866571


Georgia State University

26. Lingle, Jeremy Andrew. Evaluating the Performance of Propensity Scores to Address Selection Bias in a Multilevel Context: A Monte Carlo Simulation Study and Application Using a National Dataset.

Degree: PhD, Educational Policy Studies, 2009, Georgia State University

 When researchers are unable to randomly assign students to treatment conditions, selection bias is introduced into the estimates of treatment effects. Random assignment to treatment… (more)

Subjects/Keywords: propensity score; multilevel; simulation; national dataset; causal inference; Education; Education Policy

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

APA (6th Edition):

Lingle, J. A. (2009). Evaluating the Performance of Propensity Scores to Address Selection Bias in a Multilevel Context: A Monte Carlo Simulation Study and Application Using a National Dataset. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/eps_diss/56

Chicago Manual of Style (16th Edition):

Lingle, Jeremy Andrew. “Evaluating the Performance of Propensity Scores to Address Selection Bias in a Multilevel Context: A Monte Carlo Simulation Study and Application Using a National Dataset.” 2009. Doctoral Dissertation, Georgia State University. Accessed June 25, 2019. https://scholarworks.gsu.edu/eps_diss/56.

MLA Handbook (7th Edition):

Lingle, Jeremy Andrew. “Evaluating the Performance of Propensity Scores to Address Selection Bias in a Multilevel Context: A Monte Carlo Simulation Study and Application Using a National Dataset.” 2009. Web. 25 Jun 2019.

Vancouver:

Lingle JA. Evaluating the Performance of Propensity Scores to Address Selection Bias in a Multilevel Context: A Monte Carlo Simulation Study and Application Using a National Dataset. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Jun 25]. Available from: https://scholarworks.gsu.edu/eps_diss/56.

Council of Science Editors:

Lingle JA. Evaluating the Performance of Propensity Scores to Address Selection Bias in a Multilevel Context: A Monte Carlo Simulation Study and Application Using a National Dataset. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/eps_diss/56


The Ohio State University

27. Chen, Ziyue. Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score.

Degree: PhD, Statistics, 2017, The Ohio State University

 Randomized controlled trials (RCTs) provide strong internal validity compared with observational studies. However, selection bias threatens the external validity of randomized trials. Thus, naive RCT… (more)

Subjects/Keywords: Statistics; causal inference; propensity score; reweighting method; IPWE; bootstrap; variance estimation

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

APA (6th Edition):

Chen, Z. (2017). Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1503007759352248

Chicago Manual of Style (16th Edition):

Chen, Ziyue. “Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score.” 2017. Doctoral Dissertation, The Ohio State University. Accessed June 25, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1503007759352248.

MLA Handbook (7th Edition):

Chen, Ziyue. “Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score.” 2017. Web. 25 Jun 2019.

Vancouver:

Chen Z. Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score. [Internet] [Doctoral dissertation]. The Ohio State University; 2017. [cited 2019 Jun 25]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503007759352248.

Council of Science Editors:

Chen Z. Generalizing Results from Randomized Trials to Target Population via Weighting Methods Using Propensity Score. [Doctoral Dissertation]. The Ohio State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1503007759352248


University of Louisville

28. Wu, You. Bayesian approach on short time-course data of protein phosphorylation, casual inference for ordinal outcome and causal analysis of dietary and physical activity in T2DM using NHANES data.

Degree: PhD, 2017, University of Louisville

  This dissertation contains three different projects in proteomics and causal inferences. In the first project, I apply a Bayesian hierarchical model to assess the… (more)

Subjects/Keywords: bayesian; protein phosphorylation; causal inference; ordinal outcome; path analysis; T2DM; Biostatistics

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

APA (6th Edition):

Wu, Y. (2017). Bayesian approach on short time-course data of protein phosphorylation, casual inference for ordinal outcome and causal analysis of dietary and physical activity in T2DM using NHANES data. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2751 ; https://ir.library.louisville.edu/etd/2751

Chicago Manual of Style (16th Edition):

Wu, You. “Bayesian approach on short time-course data of protein phosphorylation, casual inference for ordinal outcome and causal analysis of dietary and physical activity in T2DM using NHANES data.” 2017. Doctoral Dissertation, University of Louisville. Accessed June 25, 2019. 10.18297/etd/2751 ; https://ir.library.louisville.edu/etd/2751.

MLA Handbook (7th Edition):

Wu, You. “Bayesian approach on short time-course data of protein phosphorylation, casual inference for ordinal outcome and causal analysis of dietary and physical activity in T2DM using NHANES data.” 2017. Web. 25 Jun 2019.

Vancouver:

Wu Y. Bayesian approach on short time-course data of protein phosphorylation, casual inference for ordinal outcome and causal analysis of dietary and physical activity in T2DM using NHANES data. [Internet] [Doctoral dissertation]. University of Louisville; 2017. [cited 2019 Jun 25]. Available from: 10.18297/etd/2751 ; https://ir.library.louisville.edu/etd/2751.

Council of Science Editors:

Wu Y. Bayesian approach on short time-course data of protein phosphorylation, casual inference for ordinal outcome and causal analysis of dietary and physical activity in T2DM using NHANES data. [Doctoral Dissertation]. University of Louisville; 2017. Available from: 10.18297/etd/2751 ; https://ir.library.louisville.edu/etd/2751


University of California – San Diego

29. Zachary, Paul. Three Essays on Measuring Social Context in the Social Sciences.

Degree: Political Science, 2018, University of California – San Diego

 Most social science theories attempt to explain the ways in which social interactions affect human behavior. Inferences therefore depend upon a researchers' ability to measure… (more)

Subjects/Keywords: Statistics; Political science; Causal inference; Measurement; Social science; Statistics

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

APA (6th Edition):

Zachary, P. (2018). Three Essays on Measuring Social Context in the Social Sciences. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/7mw8n9qz

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):

Zachary, Paul. “Three Essays on Measuring Social Context in the Social Sciences.” 2018. Thesis, University of California – San Diego. Accessed June 25, 2019. http://www.escholarship.org/uc/item/7mw8n9qz.

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

MLA Handbook (7th Edition):

Zachary, Paul. “Three Essays on Measuring Social Context in the Social Sciences.” 2018. Web. 25 Jun 2019.

Vancouver:

Zachary P. Three Essays on Measuring Social Context in the Social Sciences. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Jun 25]. Available from: http://www.escholarship.org/uc/item/7mw8n9qz.

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

Council of Science Editors:

Zachary P. Three Essays on Measuring Social Context in the Social Sciences. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/7mw8n9qz

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


Penn State University

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

Degree: PhD, Statistics, 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. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18662

Chicago Manual of Style (16th Edition):

Zhu, Yeying. “Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.” 2013. Doctoral Dissertation, Penn State University. Accessed June 25, 2019. https://etda.libraries.psu.edu/catalog/18662.

MLA Handbook (7th Edition):

Zhu, Yeying. “Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems.” 2013. Web. 25 Jun 2019.

Vancouver:

Zhu Y. Data-adaptive Approaches to Modeling Propensity Scores in Causal Inference Problems. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2019 Jun 25]. Available from: https://etda.libraries.psu.edu/catalog/18662.

Council of Science Editors:

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

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