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You searched for subject:(Causal inference). Showing records 1 – 30 of 262 total matches.

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

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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Yue MS. Evaluation of Predictive Accuracy of Tests and Impact of Tests on Patient Outcomes. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Oct 30]. 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


Wake Forest University

2. 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 (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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Bean N. Causal Inference: A New Name for an Old Concept?. [Internet] [Thesis]. Wake Forest University; 2017. [cited 2020 Oct 30]. 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

3. 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 October 30, 2020. http://hdl.handle.net/2097/36190.

MLA Handbook (7th Edition):

Mahmood, Sharif. “Finding common support and assessing matching methods for causal inference.” 2017. Web. 30 Oct 2020.

Vancouver:

Mahmood S. Finding common support and assessing matching methods for causal inference. [Internet] [Doctoral dissertation]. Kansas State University; 2017. [cited 2020 Oct 30]. 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


University of Waterloo

4. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Shu D. Causal Inference with Measurement Error. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Oct 30]. 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

5. 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 October 30, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:11181234.

MLA Handbook (7th Edition):

Lam, Patrick Kenneth. “Estimating Individual Causal Effects.” 2013. Web. 30 Oct 2020.

Vancouver:

Lam PK. Estimating Individual Causal Effects. [Internet] [Doctoral dissertation]. Harvard University; 2013. [cited 2020 Oct 30]. 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

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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Clemens C. A causal model of writing competence. [Internet] [Thesis]. Athabasca University; 2017. [cited 2020 Oct 30]. 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 California – Berkeley

7. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Decker A. Semiparametric Prediction, Variable Importance, and Effect Estimation in Critical Care. [Internet] [Thesis]. University of California – Berkeley; 2014. [cited 2020 Oct 30]. 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 Waterloo

8. Daley, Patrick. Causal Discovery of Photonic Bell Experiments.

Degree: 2020, University of Waterloo

 A causal understanding of a physical theory is vital. They provide profound insights into the implications of the theory and contain the information required to… (more)

Subjects/Keywords: quantum foundations; causal inference; quantum optics; quantum

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APA (6th Edition):

Daley, P. (2020). Causal Discovery of Photonic Bell Experiments. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15446

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):

Daley, Patrick. “Causal Discovery of Photonic Bell Experiments.” 2020. Thesis, University of Waterloo. Accessed October 30, 2020. http://hdl.handle.net/10012/15446.

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

MLA Handbook (7th Edition):

Daley, Patrick. “Causal Discovery of Photonic Bell Experiments.” 2020. Web. 30 Oct 2020.

Vancouver:

Daley P. Causal Discovery of Photonic Bell Experiments. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/10012/15446.

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

Council of Science Editors:

Daley P. Causal Discovery of Photonic Bell Experiments. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15446

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

9. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Xie Y. Causal Inference with Covariate Balance Optimization. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Oct 30]. 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


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 October 30, 2020. http://nrs.harvard.edu/urn-3:HUL.InstRepos:9368030.

MLA Handbook (7th Edition):

Zajonc, Tristan. “Essays on Causal Inference for Public Policy.” 2012. Web. 30 Oct 2020.

Vancouver:

Zajonc T. Essays on Causal Inference for Public Policy. [Internet] [Doctoral dissertation]. Harvard University; 2012. [cited 2020 Oct 30]. 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


University of Colorado

11. 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 https://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 October 30, 2020. https://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. 30 Oct 2020.

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 2020 Oct 30]. Available from: https://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: https://scholar.colorado.edu/psyc_gradetds/119


University of Minnesota

12. 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 October 30, 2020. 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. 30 Oct 2020.

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 2020 Oct 30]. 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


Kansas State University

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

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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Er E. Applications of machine learning to agricultural land values: prediction and causal inference. [Internet] [Doctoral dissertation]. Kansas State University; 2018. [cited 2020 Oct 30]. 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


University of Sydney

14. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Babbar S. Inferring Anomalies from Data using Bayesian Networks . [Internet] [Thesis]. University of Sydney; 2013. [cited 2020 Oct 30]. 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


University of New South Wales

15. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Lee H. Understanding causal mechanisms in back pain. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Oct 30]. 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


University of Sydney

16. Watkins, Timothy Royce. Understanding uncertainty and bias to improve causal inference in health intervention research .

Degree: 2018, University of Sydney

 Most research on health interventions aims to find evidence to support better causal inferences about those interventions. However, for decades, a majority of this research… (more)

Subjects/Keywords: causal; inference; bias; uncertainty; health; intervention

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APA (6th Edition):

Watkins, T. R. (2018). Understanding uncertainty and bias to improve causal inference in health intervention research . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20772

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):

Watkins, Timothy Royce. “Understanding uncertainty and bias to improve causal inference in health intervention research .” 2018. Thesis, University of Sydney. Accessed October 30, 2020. http://hdl.handle.net/2123/20772.

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

MLA Handbook (7th Edition):

Watkins, Timothy Royce. “Understanding uncertainty and bias to improve causal inference in health intervention research .” 2018. Web. 30 Oct 2020.

Vancouver:

Watkins TR. Understanding uncertainty and bias to improve causal inference in health intervention research . [Internet] [Thesis]. University of Sydney; 2018. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/2123/20772.

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

Council of Science Editors:

Watkins TR. Understanding uncertainty and bias to improve causal inference in health intervention research . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/20772

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

17. Kikuta, Kyosuke. Bargaining over nature : formal and causal analyses on environments and conflict.

Degree: PhD, Government, 2019, University of Texas – Austin

 Despite the growing attention to environmental changes and their consequences on conflict, we still do not know the roles of human responses and strategic interactions.… (more)

Subjects/Keywords: Conflict; Natural environments; Formal model; Causal inference

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

APA (6th Edition):

Kikuta, K. (2019). Bargaining over nature : formal and causal analyses on environments and conflict. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/5400

Chicago Manual of Style (16th Edition):

Kikuta, Kyosuke. “Bargaining over nature : formal and causal analyses on environments and conflict.” 2019. Doctoral Dissertation, University of Texas – Austin. Accessed October 30, 2020. http://dx.doi.org/10.26153/tsw/5400.

MLA Handbook (7th Edition):

Kikuta, Kyosuke. “Bargaining over nature : formal and causal analyses on environments and conflict.” 2019. Web. 30 Oct 2020.

Vancouver:

Kikuta K. Bargaining over nature : formal and causal analyses on environments and conflict. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2019. [cited 2020 Oct 30]. Available from: http://dx.doi.org/10.26153/tsw/5400.

Council of Science Editors:

Kikuta K. Bargaining over nature : formal and causal analyses on environments and conflict. [Doctoral Dissertation]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/5400


Princeton University

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

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 October 30, 2020. http://arks.princeton.edu/ark:/88435/dsp01w3763925c.

MLA Handbook (7th Edition):

Li, Chenchuan. “Inference in Regressions with Many Controls .” 2016. Web. 30 Oct 2020.

Vancouver:

Li C. Inference in Regressions with Many Controls . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Oct 30]. 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


Princeton University

19. Egami, Naoki. ESSAYS ON SPATIAL AND NETWORK CAUSAL INFERENCE FOR SOCIAL SCIENCES .

Degree: PhD, 2020, Princeton University

 Over the last few decades, causal inference has transformed the quantitative social sciences. However, this revolution still has a long way to go; most existing… (more)

Subjects/Keywords: Causal diffusion analysis; Causal inference; Social sciences; Spatial and network analysis

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

APA (6th Edition):

Egami, N. (2020). ESSAYS ON SPATIAL AND NETWORK CAUSAL INFERENCE FOR SOCIAL SCIENCES . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp01g732dc95p

Chicago Manual of Style (16th Edition):

Egami, Naoki. “ESSAYS ON SPATIAL AND NETWORK CAUSAL INFERENCE FOR SOCIAL SCIENCES .” 2020. Doctoral Dissertation, Princeton University. Accessed October 30, 2020. http://arks.princeton.edu/ark:/88435/dsp01g732dc95p.

MLA Handbook (7th Edition):

Egami, Naoki. “ESSAYS ON SPATIAL AND NETWORK CAUSAL INFERENCE FOR SOCIAL SCIENCES .” 2020. Web. 30 Oct 2020.

Vancouver:

Egami N. ESSAYS ON SPATIAL AND NETWORK CAUSAL INFERENCE FOR SOCIAL SCIENCES . [Internet] [Doctoral dissertation]. Princeton University; 2020. [cited 2020 Oct 30]. Available from: http://arks.princeton.edu/ark:/88435/dsp01g732dc95p.

Council of Science Editors:

Egami N. ESSAYS ON SPATIAL AND NETWORK CAUSAL INFERENCE FOR SOCIAL SCIENCES . [Doctoral Dissertation]. Princeton University; 2020. Available from: http://arks.princeton.edu/ark:/88435/dsp01g732dc95p

20. 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 October 30, 2020. 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. 30 Oct 2020.

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 2020 Oct 30]. 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

21. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Odondi L. Causal modelling of survival data with informative noncompliance. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Oct 30]. 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


University of Manchester

22. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Odondi L. Causal modelling of survival data with informative noncompliance. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Oct 30]. 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

23. 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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Åström F. The Left Hemisphere Interpreter and Confabulation : a Comparison. [Internet] [Thesis]. University of Skövde; 2011. [cited 2020 Oct 30]. 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 Melbourne

24. Aitken, Zoe Lisa. How do socio-economic characteristics influence the effect of disability acquisition on mental health? An analysis of effect modification and mediation.

Degree: 2019, University of Melbourne

 Background People with disabilities in Australia experience poorer mental health than people without disability. However, the mechanisms by which disability leads to poor mental health… (more)

Subjects/Keywords: Mental health; Disability; Socio-economic characteristics; Epidemiology; Causal inference; Causal mediation analysis; Biostatistics

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

APA (6th Edition):

Aitken, Z. L. (2019). How do socio-economic characteristics influence the effect of disability acquisition on mental health? An analysis of effect modification and mediation. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/235776

Chicago Manual of Style (16th Edition):

Aitken, Zoe Lisa. “How do socio-economic characteristics influence the effect of disability acquisition on mental health? An analysis of effect modification and mediation.” 2019. Doctoral Dissertation, University of Melbourne. Accessed October 30, 2020. http://hdl.handle.net/11343/235776.

MLA Handbook (7th Edition):

Aitken, Zoe Lisa. “How do socio-economic characteristics influence the effect of disability acquisition on mental health? An analysis of effect modification and mediation.” 2019. Web. 30 Oct 2020.

Vancouver:

Aitken ZL. How do socio-economic characteristics influence the effect of disability acquisition on mental health? An analysis of effect modification and mediation. [Internet] [Doctoral dissertation]. University of Melbourne; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/11343/235776.

Council of Science Editors:

Aitken ZL. How do socio-economic characteristics influence the effect of disability acquisition on mental health? An analysis of effect modification and mediation. [Doctoral Dissertation]. University of Melbourne; 2019. Available from: http://hdl.handle.net/11343/235776


University of Maryland

25. Galagate, Douglas. CAUSAL INFERENCE WITH A CONTINUOUS TREATMENT AND OUTCOME: ALTERNATIVE ESTIMATORS FOR PARAMETRIC DOSE-RESPONSE FUNCTIONS WITH APPLICATIONS.

Degree: Mathematical Statistics, 2016, University of Maryland

Causal inference with a continuous treatment is a relatively under-explored problem. In this dissertation, we adopt the potential outcomes framework. Potential outcomes are responses that… (more)

Subjects/Keywords: Statistics; Biostatistics; Mathematics; average causal effect; causal inference; dose-response; potential outcomes; propensity score; weighting

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APA (6th Edition):

Galagate, D. (2016). CAUSAL INFERENCE WITH A CONTINUOUS TREATMENT AND OUTCOME: ALTERNATIVE ESTIMATORS FOR PARAMETRIC DOSE-RESPONSE FUNCTIONS WITH APPLICATIONS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/18170

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):

Galagate, Douglas. “CAUSAL INFERENCE WITH A CONTINUOUS TREATMENT AND OUTCOME: ALTERNATIVE ESTIMATORS FOR PARAMETRIC DOSE-RESPONSE FUNCTIONS WITH APPLICATIONS.” 2016. Thesis, University of Maryland. Accessed October 30, 2020. http://hdl.handle.net/1903/18170.

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

MLA Handbook (7th Edition):

Galagate, Douglas. “CAUSAL INFERENCE WITH A CONTINUOUS TREATMENT AND OUTCOME: ALTERNATIVE ESTIMATORS FOR PARAMETRIC DOSE-RESPONSE FUNCTIONS WITH APPLICATIONS.” 2016. Web. 30 Oct 2020.

Vancouver:

Galagate D. CAUSAL INFERENCE WITH A CONTINUOUS TREATMENT AND OUTCOME: ALTERNATIVE ESTIMATORS FOR PARAMETRIC DOSE-RESPONSE FUNCTIONS WITH APPLICATIONS. [Internet] [Thesis]. University of Maryland; 2016. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1903/18170.

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

Council of Science Editors:

Galagate D. CAUSAL INFERENCE WITH A CONTINUOUS TREATMENT AND OUTCOME: ALTERNATIVE ESTIMATORS FOR PARAMETRIC DOSE-RESPONSE FUNCTIONS WITH APPLICATIONS. [Thesis]. University of Maryland; 2016. Available from: http://hdl.handle.net/1903/18170

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


Northeastern University

26. Paneri, Kaushal. Integrating Markov Process And Structural Causal Models Enables Counterfactual Inference In Complex Systems.

Degree: MS, 2019, Northeastern University

 Modeling causal relationships between components of dynamic systems helps predict the outcomes of interventions on the system. Upon an intervention, many systems reach a new… (more)

Subjects/Keywords: Causal inference; complex systems at steady state; Counterfactual inference; Signaling networks; Structural causal models; Artificial intelligence; Biostatistics; Computer science

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

APA (6th Edition):

Paneri, K. (2019). Integrating Markov Process And Structural Causal Models Enables Counterfactual Inference In Complex Systems. (Masters Thesis). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20321695

Chicago Manual of Style (16th Edition):

Paneri, Kaushal. “Integrating Markov Process And Structural Causal Models Enables Counterfactual Inference In Complex Systems.” 2019. Masters Thesis, Northeastern University. Accessed October 30, 2020. http://hdl.handle.net/2047/D20321695.

MLA Handbook (7th Edition):

Paneri, Kaushal. “Integrating Markov Process And Structural Causal Models Enables Counterfactual Inference In Complex Systems.” 2019. Web. 30 Oct 2020.

Vancouver:

Paneri K. Integrating Markov Process And Structural Causal Models Enables Counterfactual Inference In Complex Systems. [Internet] [Masters thesis]. Northeastern University; 2019. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/2047/D20321695.

Council of Science Editors:

Paneri K. Integrating Markov Process And Structural Causal Models Enables Counterfactual Inference In Complex Systems. [Masters Thesis]. Northeastern University; 2019. Available from: http://hdl.handle.net/2047/D20321695


University of Saskatchewan

27. 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 (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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Kristtorn S. Causal assumptions : some responses to Nancy Cartwright. [Internet] [Thesis]. University of Saskatchewan; 2007. [cited 2020 Oct 30]. 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


Penn State University

28. Xiong, Sihan. BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS.

Degree: 2018, Penn State University

 This thesis proposes a Bayesian nonparametric model of categorical data, which can be used for casual inference of time series, information fusion of heterogeneous sources… (more)

Subjects/Keywords: Bayesian nonparametric; Causal inference; Panel Data; Variational Inference; Sequential Classification; Information fusion

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APA (6th Edition):

Xiong, S. (2018). BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14985sux101

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):

Xiong, Sihan. “BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS.” 2018. Thesis, Penn State University. Accessed October 30, 2020. https://submit-etda.libraries.psu.edu/catalog/14985sux101.

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

MLA Handbook (7th Edition):

Xiong, Sihan. “BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS.” 2018. Web. 30 Oct 2020.

Vancouver:

Xiong S. BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Oct 30]. Available from: https://submit-etda.libraries.psu.edu/catalog/14985sux101.

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

Council of Science Editors:

Xiong S. BAYESIAN NONPARAMETRIC MODELING OF CATEGORICAL DATA WITH APPLICATIONS TO DYNAMIC DATA-DRIVEN SYSTEMS. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/14985sux101

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


University of Washington

29. Westling, Theodore. Nonparametric inference on monotone functions, with applications to observational studies.

Degree: PhD, 2018, University of Washington

 In this dissertation, we study general strategies for constructing nonparametric monotone function estimators in two broad statistical settings. In the first setting, a sensible initial… (more)

Subjects/Keywords: causal inference; censored data; confounding; monotone functions; shape-constrained inference; Statistics; Biostatistics; Statistics

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APA (6th Edition):

Westling, T. (2018). Nonparametric inference on monotone functions, with applications to observational studies. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43161

Chicago Manual of Style (16th Edition):

Westling, Theodore. “Nonparametric inference on monotone functions, with applications to observational studies.” 2018. Doctoral Dissertation, University of Washington. Accessed October 30, 2020. http://hdl.handle.net/1773/43161.

MLA Handbook (7th Edition):

Westling, Theodore. “Nonparametric inference on monotone functions, with applications to observational studies.” 2018. Web. 30 Oct 2020.

Vancouver:

Westling T. Nonparametric inference on monotone functions, with applications to observational studies. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Oct 30]. Available from: http://hdl.handle.net/1773/43161.

Council of Science Editors:

Westling T. Nonparametric inference on monotone functions, with applications to observational studies. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43161


University of Pennsylvania

30. 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 (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 October 30, 2020. 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. 30 Oct 2020.

Vancouver:

Fogarty CB. Modern Optimization in Observational Studies. [Internet] [Thesis]. University of Pennsylvania; 2016. [cited 2020 Oct 30]. 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

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