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20202023
most citedEstimating the natural indirect effect and the mediation proportion via the product method

2 citations · 2 across the 3 of their papers we have counts for

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5 papers · 1 filter

stat.ME2023

Multiply robust estimation for causal survival analysis with treatment noncompliance

Chao Cheng, Bo Liu, Lisa Wruck +1

Comparative effectiveness research frequently addresses a time-to-event outcome and can require unique considerations in the presence of treatment noncompliance. Motivated by the c…

stat.ME2023

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome

Chao Cheng, Donna Spiegelman, Fan Li

Mediation analysis is widely used in health science research to evaluate the extent to which an intermediate variable explains an observed exposure-outcome relationship. However, t…

stat.ME2021

A repeated measures approach to pooled and calibrated biomarker data

Abigail Sloan, Chao Cheng, Bernard Rosner +3

Participant level meta-analysis across multiple studies increases the sample size for pooled analyses, thereby improving precision in effect estimates and enabling subgroup analyse…

stat.ME20212 cited

Estimating the natural indirect effect and the mediation proportion via the product method

Chao Cheng, Donna Spiegelman, Fan Li

The natural indirect effect (NIE) and mediation proportion (MP) are two measures of primary interest in mediation analysis. The standard approach for estimating NIE and MP is throu…

stat.ME2020

Parallel subgroup analysis of high-dimensional data via M-regression

Chao Cheng, Xingdong Feng

It becomes an interesting problem to identify subgroup structures in data analysis as populations are probably heterogeneous in practice. In this paper, we consider M-estimators to…