34 citations · 66 across the 18 of their papers we have counts for
6 papers · 1 filter
Selection bias in the treatment effect for a principal stratum
Yongming Qu, Stephen J. Ruberg, Junxiang Luo +1
Estimation of treatment effect for principal strata has been studied for more than two decades. Existing research exclusively focuses on the estimation, but there is little researc…
Using principal stratification in analysis of clinical trials
Ilya Lipkovich, Bohdana Ratitch, Yongming Qu +3
The ICH E9(R1) addendum (2019) proposed principal stratification (PS) as one of five strategies for dealing with intercurrent events. Therefore, understanding the strengths, limita…
Return-to-baseline multiple imputation for missing values in clinical trials
Yongming Qu, Biyue Dai
Return-to-baseline is an important method to impute missing values or unobserved potential outcomes when certain hypothetical strategies are used to handle intercurrent events in c…
Assessing the commonly used assumptions in estimating the principal causal effect in clinical trials
Yongming Qu, Ilya Lipkovich, Stephen J. Ruberg
In clinical trials, it is often of interest to understand the principal causal effect (PCE), the average treatment effect for a principal stratum (a subset of patients defined by t…
Analysis of an Incomplete Binary Outcome Dichotomized From an Underlying Continuous Variable in Clinical Trials
Chenchen Ma, Xin Shen, Yongming Qu +1
In many clinical trials, outcomes of interest include binary-valued endpoints. It is not uncommon that a binary-valued outcome is dichotomized from a continuous outcome at a thresh…
Estimating the treatment effect for adherers using multiple imputation
Junxiang Luo, Stephen J. Ruberg, Yongming Qu
Randomized controlled trials are considered the gold standard to evaluate the treatment effect (estimand) for efficacy and safety. According to the recent International Council on…