842 citations · 1.7k across the 24 of their papers we have counts for
5 papers · 1 filter
Diagnosing missing always at random in multivariate data
Iavor Bojinov, Natesh Pillai, Donald Rubin
Models for analyzing multivariate data sets with missing values require strong, often unassessable, assumptions. The most common of these is that the mechanism that created the mis…
Bridging observational studies and randomized experiments by embedding the former in the latter
Marie-Abele C. Bind, Donald B. Rubin
The health effects of environmental exposures have been studied for decades, typically using standard regression models to assess exposure-outcome associations found in observation…
Sequential rerandomization
Quan Zhou, Philip Ernst, Kari Lock Morgan +2
The seminal work of Morgan and Rubin (2012) considers rerandomization for all the units at one time. In practice, however, experimenters may have to rerandomize units sequentially.…
Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System
Alice Xiang, Donald B. Rubin
We examine the possible consequences of a change in law school admissions in the United States from an affirmative action system based on race to one based on socioeconomic class.…
For objective causal inference, design trumps analysis
Donald B. Rubin
For obtaining causal inferences that are objective, and therefore have the best chance of revealing scientific truths, carefully designed and executed randomized experiments are ge…