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| The Early Years and the Influence of William G. Cochran | |
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| William G. Cochran's contributions to the design, analysis, and evaluation of observational studies | |
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| Controlling bias in observational studies: a review William G. Cochran | |
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| Univariate Matching Methods and the Dangers of Regression Adjustment | |
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| Matching to remove bias in observational studies | |
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| The use of matched sampling and regression adjustment to remove bias in observational studies | |
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| Assignment to treatment group on the basis of a covariate | |
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| Basic Theory of Multivariate Matching | |
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| Multivariate matching methods that are equal percent bias reducing, I: Some examples | |
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| Multivariate matching methods that are equal percent bias reducing, II: Maximums on bias reduction for fixed sample sizes | |
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| Using multivariate matched sampling and regression adjustment to control bias in observational studies | |
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| Bias reduction using Mahalanobis-metric matching | |
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| Fundamentals of Propensity Score Matching | |
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| The central role of the propensity score in observational studies for causal effects Paul R. Rosenbaum | |
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| Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome Paul R. Rosenbaum | |
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| Reducing bias in observational studies using subclassification on the propensity score Paul R. Rosenbaum | |
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| Constructing a control group using multivariate matched sampling methods that incorporate the propensity score Paul Rosenbaum | |
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| The bias due to incomplete matching Paul R. Rosenbaum | |
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| Affinely Invariant Matching Methods with Ellipsoidally Symmetric Distributions, Theory and Methodology | |
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| Affinely invariant matching methods with ellipsoidal distributions Neal Thomas | |
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| Characterizing the effect of matching using linear propensity score methods with normal distributions Neal Thomas | |
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| Matching using estimated propensity scores: relating theory to practice Neal Thomas | |
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| Combining propensity score matching with additional adjustments for prognostic covariates | |
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| Some Applied Contributions | |
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| Causal inference in retrospective studies Paul Holland | |
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| The design of the New York school choice scholarships program evaluation Jennifer Hill and Neal Thomas | |
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| Estimating and using propensity scores with partially missing data Ralph D'Agostino Jr | |
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| Using propensity scores to help design observational studies: application to the tobacco litigation | |
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| Some Focused Applications | |
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| Criminality, aggression and intelligence in XYY and XXY men H. A. Witkin | |
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| Practical implications of modes of statistical inference for causal effects and the critical role of the assignment mechanism | |
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| In utero exposure to phenobarbital and intelligence deficits in adult men June Reinisch, Stephanie Sanders, and Erik Mortensen | |
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| Estimating causal effects from large data sets using propensity scores | |
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| On estimating the causal effects of DNR orders Martin McIntosh | |