29 citations · 34 across the 5 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
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…
stat.ME2020★ 29 cited
Improving efficiency of inference in clinical trials with external control data
Xinyu Li, Wang Miao, Fang Lu +1
Suppose we are interested in the effect of a treatment in a clinical trial. The efficiency of inference may be limited due to small sample size. However, external control data are…
stat.ME2020★ 1 cited
Identifying effects of multiple treatments in the presence of unmeasured confounding
Wang Miao, Wenjie Hu, Elizabeth L. Ogburn +1
Identification of treatment effects in the presence of unmeasured confounding is a persistent problem in the social, biological, and medical sciences. The problem of unmeasured con…