842 citations · 1.7k across the 24 of their papers we have counts for
7 papers · 1 filter
Rerandomization in Factorial Experiments
Xinran Li, Peng Ding, Donald B. Rubin
With many pretreatment covariates and treatment factors, the classical factorial experiment often fails to balance covariates across multiple factorial effects simultaneously. Ther…
Asymptotic Theory of Rerandomization in Treatment-Control Experiments
Xinran Li, Peng Ding, Donald B. Rubin
Although complete randomization ensures covariate balance on average, the chance for observing significant differences between treatment and control covariate distributions increas…
Rerandomization to improve covariate balance in experiments
Kari Lock Morgan, Donald B. Rubin
Randomized experiments are the "gold standard" for estimating causal effects, yet often in practice, chance imbalances exist in covariate distributions between treatment groups. If…
Rejoinder to Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with "Censoring" Due to Death
Donald B. Rubin
Rejoinder on Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with ``Censoring'' Due to Death by D. B. Rubin [math.ST/0612783]
Causal Inference Through Potential Outcomes and Principal Stratification: Application to Studies with "Censoring" Due to Death
Donald B. Rubin
Causal inference is best understood using potential outcomes. This use is particularly important in more complex settings, that is, observational studies or randomized experiments…
Affinely invariant matching methods with discriminant mixtures of proportional ellipsoidally symmetric distributions
Donald B. Rubin, Elizabeth A. Stuart
In observational studies designed to estimate the effects of interventions or exposures, such as cigarette smoking, it is desirable to try to control background differences between…
Estimating the Causal Effects of Marketing Interventions Using Propensity Score Methodology
Donald B. Rubin, Richard P. Waterman
Propensity score methods were proposed by Rosenbaum and Rubin [Biometrika 70 (1983) 41--55] as central tools to help assess the causal effects of interventions. Since their introdu…