activity
20162019
most citedOn Data Enriched Logistic Regression

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2019★ 2 cited

On Data Enriched Logistic Regression

Cheng Zheng, Sayan Dasgupta, Yuxiang Xie +2

Biomedical researchers usually study the effects of certain exposures on disease risks among a well-defined population. To achieve this goal, the gold standard is to design a trial…

stat.ME2018★ 1 cited

On High Dimensional Covariate Adjustment for Estimating Causal Effects in Randomized Trials with Survival Outcomes

Ran Dai, Cheng Zheng, Mei-Jie Zhang

The purpose of this work is to improve the efficiency in estimating the average causal effect (ACE) on the survival scale where right-censoring exists and high-dimensional covariat…

stat.ME2016

On a Shape-Invariant Hazard Regression Model

Cheng Zheng, Ying Qing Chen

In survival analysis, Cox model is widely used for most clinical trial data. Alternatives include the additive hazard model, the accelerated failure time (AFT) model and a more gen…

stat.ME2016

Instrumental Variable with Competing Risk Model

Cheng Zheng, Ran Dai, Parameswaran Hari +1

In this paper, we discuss causal inference on the efficacy of a treatment or medication on a time-to-event outcome with competing risks. Although the treatment group can be randomi…

stat.ME2016★ 1 cited

On estimating causal controlled direct and mediator effects for count outcomes without assuming sequential ignorability

Cheng Zheng, David C. Atkins, Melissa A. Lewis +1

Causal mediation analysis is an important statistical method in social and medical studies, as it can provide insights about why an intervention works and inform the development of…