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Observational studies are rising in importance due to the widespread accumulation of data in fields such as healthcare, education, employment and ecology.
Causation
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Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, Donald B · 1974
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Use of the logistic model in retrospective studies
Prentice, Ross · 1976
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The central role of the propensity score in observational studies for causal effects
Rosenbaum, Paul R and Rubin, Donald B · 1983
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Marginal structural models and causal inference in epidemiology
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Rosenbaum, Paul R · 2002
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van der Laan, Mark J and Petersen, Maya L · 2007
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Causality
Pearl, Judea · 2009
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Design of Observational Studies
Rosenbaum, Paul R · 2009
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Contextual bandit algorithms with supervised learning guarantees
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Chipman, Hugh A, George, Edward I, and McCulloch, Robert E · 2010
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Bottou, Léon, Peters, Jonas, Quinonero-Candela, Joaquin, Charles, Denis X, Chickering, D Max, Portugaly, Elon, Ray, Dipankar, Simard, Patrice, and Snelson, Ed · 2013
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Inference on counterfactual distributions
Chernozhukov, Victor, Fernández-Val, Iván, and Melly, Blaise · 2013
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Cortes, Corinna and Mohri, Mehryar · 2014
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Counterfactuals and causal inference
Morgan, Stephen L and Winship, Christopher · 2014
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A simple method for estimating interactions between a treatment and a large number of covariates
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An introduction to propensity score methods for reducing the effects of confounding in observational studies
Austin, Peter C · 2011
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Invited commentary: understanding bias amplification
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Causal inference using potential outcomes
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Tian, Lu, Alizadeh, Ash A, Gentles, Andrew J, and Tibshirani, Robert · 2014
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Zemel, Rich, Wu, Yu, Swersky, Kevin, Pitassi, Toni, and Dwork, Cynthia · 2014
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Domain-adversarial training of neural networks
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The variational fair auto encoder
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Batch learning from logged bandit feedback through counterfactual risk minimization
Swaminathan, Adith and Joachims, Thorsten · 2015
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Estimation and inference of heterogeneous treatment effects using random forests
Wager, Stefan and Athey, Susan · 2015
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Machine learning for treatment assignment: Improving individualized risk attribution
Weiss, Jeremy C, Kuusisto, Finn, Boyd, Kendrick, Lui, Jie, and Page, David C · 2015
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BayesTree: Bayesian additive regression trees
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