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1.
Essays on Causal Inference in Randomized Experiments
by Lin, Winston, Ph.D.  University of California, Berkeley. 2013: 93 pages; 3593906.
2.
Latent Variable Modeling and Causal Inference in Population-Structured Genetics
by Cabreros, Irineo C., Ph.D.  Princeton University. 2020: 219 pages; 27546470.
3.
Optimal Subset Selection for Causal Inference Using Machine Learning and Particle Swarm Optimization
by Sharma, Dhruv, D.Engr.  The George Washington University. 2018: 132 pages; 10928545.
5.
Mind as Theory Engine: Causation, Explanation and Time
by Pacer, Michael D., Ph.D.  University of California, Berkeley. 2016: 380 pages; 10194103.
6.
Randomization inference and principal stratification in HIV prevention studies
by Nolen, Tracy L., Dr.P.H.  The University of North Carolina at Chapel Hill. 2012: 111 pages; 3512798.
7.
Mechanical Inference in Dynamic Ecosystems
by Langendorf, R. E., Ph.D.  University of Colorado at Boulder. 2018: 138 pages; 10792156.
8.
Causal models in prediction and diagnosis
by Fernbach, Philip M., Ph.D.  Brown University. 2010: 157 pages; 3430132.
10.
Nonparametric Bayes: Inference under nonignorable missingness and model selection
by Linero, Antonio, Ph.D.  University of Florida. 2015: 147 pages; 10299009.
11.
Targeted Maximum Likelihood Estimation for Evaluation of the Health Impacts of Air Pollution
by Sarovar, Varada, Ph.D.  University of California, Berkeley. 2017: 93 pages; 10279902.
12.
Motivation and causal judgments: A new era of attribution
by An, Sieun, Ph.D.  New Mexico State University. 2013: 112 pages; 3579912.
13.
Bayesian Nonparametric Methods for Analysis of Electronic Health Records
by Xu, Dandan, Ph.D.  University of Florida. 2016: 108 pages; 10679207.
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Disease avoidance goals interfere with the spontaneous inference of traits
by McCarthy, Randy James, Ph.D.  Northern Illinois University. 2012: 199 pages; 3513143.
17.
Assessing a new approach to class-based affirmative action
by Gaertner, Matthew Newman, Ph.D.  University of Colorado at Boulder. 2011: 183 pages; 3453712.
18.
Heterogeneous Treatment Effect Estimation Using Machine Learning
by Kuenzel, Soeren R., Ph.D.  University of California, Berkeley. 2019: 177 pages; 13903254.
19.
Landscape-based null models for archaeological inference
by Bocinsky, Ronald Kyle, Ph.D.  Washington State University. 2014: 216 pages; 3684754.
20.
Remittances and political liberalization
by Su, Yu-Sung, Ph.D.  City University of New York. 2009: 180 pages; 3378986.
21.
The Evaluation of Symptomatic and Latent System Failure Causal Factors in Complex Socio-Technical Systems
by Erjavac, Anthony J., Ph.D.  The George Washington University. 2018: 163 pages; 10843526.
22.
From Event to Story Understanding
by Mostafazadeh, Nasrin, Ph.D.  University of Rochester. 2017: 149 pages; 10618085.
23.
Counterfactual Evaluation and Learning From Logged User Feedback
by Swaminathan, Adith, Ph.D.  Cornell University. 2017: 224 pages; 10258968.
24.
Efficient inference algorithms for near-deterministic systems
by Chatterjee, Shaunak, Ph.D.  University of California, Berkeley. 2013: 130 pages; 3616611.
25.
Causal Attribution and Culture: How Similar are American and Chinese Thinking?
by Yang, Yan, Ph.D.  University of Cincinnati. 2009: 106 pages; 10857071.
26.
Noise, Quantization, and Priors in Neural Networks
by Anderson, Alexander G., Ph.D.  University of California, Berkeley. 2018: 87 pages; 10822107.
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Shamans or scientists? Positivist pseudo-science and sense-able concepts in the discipline of international relations
by En, Benjamin Seet Chong, M.S.  National University of Singapore (Singapore). 2015: 192 pages; 10006077.
30.
Three Essays on Race and Politics
by Wasow, Omar, Ph.D.  Harvard University. 2013: 157 pages; 3567119.
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