31 citations · 194 across the 34 of their papers we have counts for
4 papers · 1 filter
Shape-constrained partial identification of a population mean under unknown probabilities of sample selection
Luke W. Miratrix, Stefan Wager, Jose R. Zubizarreta
A prevailing challenge in the biomedical and social sciences is to estimate a population mean from a sample obtained with unknown selection probabilities. Using a well-known ratio…
Bridging Finite and Super Population Causal Inference
Peng Ding, Xinran Li, Luke W. Miratrix
There are two general views in causal analysis of experimental data: the super population view that the units are an independent sample from some hypothetical infinite populations,…
Decomposing Treatment Effect Variation
Peng Ding, Avi Feller, Luke Miratrix
Understanding and characterizing treatment effect variation in randomized experiments has become essential for going beyond the "black box" of the average treatment effect. Nonethe…
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…