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math.ST2020★ 1 cited
Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates
Ruoyu Wang, Qihua Wang, Wang Miao +1
In a completely randomized experiment, the variances of treatment effect estimators in the finite population are usually not identifiable and hence not estimable. Although some est…
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
On Varieties of Doubly Robust Estimators Under Missingness Not at Random With a Shadow Variable
Wang Miao, Eric Tchetgen Tchetgen
Suppose we are interested in the mean of an outcome variable missing not at random. Suppose however that one has available a fully observed shadow variable, which is associated wit…