12 citations · 61 across the 32 of their papers we have counts for
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stat.ME2020
Multiply robust estimation of causal effects under principal ignorability
Zhichao Jiang, Shu Yang, Peng Ding
Causal inference concerns not only the average effect of the treatment on the outcome but also the underlying mechanism through an intermediate variable of interest. Principal stra…
stat.ME2020
Covariate-adjusted Fisher randomization tests for the average treatment effect
Anqi Zhao, Peng Ding
Fisher's randomization test (FRT) delivers exact -values under the strong null hypothesis of no treatment effect on any units whatsoever and allows for flexible covariate adjust…
stat.ME2020
Identification of Causal Effects Within Principal Strata Using Auxiliary Variables
Zhichao Jiang, Peng Ding
In causal inference, principal stratification is a framework for dealing with a posttreatment intermediate variable between a treatment and an outcome, in which the principal strat…