activity
20192021
most citedImplementation of Tripartite Estimands Using Adherence Causal Estimators Under the Causal Inference Framework

8 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

stat.AP2021

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…

stat.ME2020

Understanding and adjusting the selection bias from a proof-of-concept study to a more confirmatory study

Yongming Qu, Yu Du, Ying Zhang +1

It has long been noticed that the efficacy observed in small early phase studies is generally better than that observed in later larger studies. Historically, the inflation of the…

stat.AP20202 cited

Defining Estimands Using a Mix of Strategies to Handle Intercurrent Events in Clinical Trials

Yongming Qu, Linda Shurzinske, Shanthi Sethuraman

Randomized controlled trials (RCT) are the gold standard for evaluation of the efficacy and safety of investigational interventions. If every patient in an RCT were to adhere to th…

stat.AP20208 cited

Implementation of Tripartite Estimands Using Adherence Causal Estimators Under the Causal Inference Framework

Yongming Qu, Junxiang Luo, Stephen J. Ruberg

Intercurrent events (ICEs) and missing values are inevitable in clinical trials of any size and duration, making it difficult to assess the treatment effect for all patients in ran…

stat.AP2019

Estimation of group means in generalized linear mixed models

Jiexin Duan, Michael Levine, Junxiang Luo +1

In this manuscript, we investigate the concept of the mean response for a treatment group mean as well as its estimation and prediction for generalized linear models with a subject…