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20132021
most citedIdentifying Causal Effects With Proxy Variables of an Unmeasured Confounder

22 citations · 92 across the 14 of their papers we have counts for

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5 papers · 1 filter

math.ST2016★ 1 cited

Novel Criteria to Exclude the Surrogate Paradox and Their Optimalities

Yunjian Yin, Lan Liu, Zhi Geng +1

When the primary outcome is hard to collect, surrogate endpoint is typically used as a substitute. However, even when the treatment has a positive average causal effect (ACE) on th…

math.ST2015

Identifiability of Normal and Normal Mixture Models With Nonignorable Missing Data

Wang Miao, Peng Ding, Zhi Geng

Missing data problems arise in many applied research studies. They may jeopardize statistical inference of the model of interest, if the missing mechanism is nonignorable, that is,…

math.ST2015★ 1 cited

Principal causal effect identification and surrogate endpoint evaluation by multiple trials

Zhichao Jiang, Peng Ding, Zhi Geng

Principal stratification is a causal framework to analyze randomized experiments with a post-treatment variable between the treatment and endpoint variables. Because the principal…

math.ST2014★ 9 cited

Qualitative Evaluation of Associations by the Transitivity of the Association Signs

Zhichao Jiang, Peng Ding, Zhi Geng

We say that the signs of association measures among three variables {X, Y, Z} are transitive if a positive association measure between the variable X and the intermediate variable…

math.ST2014★ 18 cited

Identifiability of Subgroup Causal Effects in Randomized Experiments with Nonignorable Missing Covariates

Peng Ding, Zhi Geng

Although randomized experiments are widely regarded as the gold standard for estimating causal effects, missing data of the pretreatment covariates makes it challenging to estimate…