9 citations · 23 across the 16 of their papers we have counts for
4 papers · 1 filter
Improving Covariate Balance in 2^K Factorial Designs via Rerandomization
Zach Branson, Tirthankar Dasgupta, Donald B. Rubin
Factorial designs are widely used in agriculture, engineering, and the social sciences to study the causal effects of several factors simultaneously on a response. The objective of…
Treatment Effects on Ordinal Outcomes: Causal Estimands and Sharp Bounds
Jiannan Lu, Peng Ding, Tirthankar Dasgupta
Assessing the causal effects of interventions on ordinal outcomes is an important objective of many educational and behavioral studies. Under the potential outcomes framework, we c…
Construction of alternative hypotheses for randomization tests with ordinal outcomes
Jiannan Lu, Peng Ding, Tirthankar Dasgupta
For ordinal outcomes, we construct sequences of alternative hypotheses in increasing departures from the sharp null hypothesis of zero treatment effect on each experimental unit, t…
A Potential Tale of Two by Two Tables from Completely Randomized Experiments
Peng Ding, Tirthankar Dasgupta
Causal inference in completely randomized treatment-control studies with binary outcomes is discussed from Fisherian, Neymanian and Bayesian perspectives, using the potential outco…