31 citations · 194 across the 34 of their papers we have counts for
Showing 2014Show all
3 papers · 1 filter
stat.ME2014★ 1 cited
Randomization Inference for Treatment Effect Variation
Peng Ding, Avi Feller, Luke Miratrix
Applied researchers are increasingly interested in whether and how treatment effects vary in randomized evaluations, especially variation not explained by observed covariates. We p…
math.ST2014★ 17 cited
To Adjust or Not to Adjust? Sensitivity Analysis of M-Bias and Butterfly-Bias
Peng Ding, Luke Miratrix
"M-Bias," as it is called in the epidemiologic literature, is the bias introduced by conditioning on a pretreatment covariate due to a particular "M-Structure" between two latent f…
cs.CL2014★ 14 cited
Concise comparative summaries (CCS) of large text corpora with a human experiment
Jinzhu Jia, Luke Miratrix, Bin Yu +4
In this paper we propose a general framework for topic-specific summarization of large text corpora and illustrate how it can be used for the analysis of news databases. Our framew…