Efficient estimation of indirect effects in case-control studies using a unified likelihood framework

DOI10.1002/sim.9390zbMATH Open1547.62442MaRDI QIDQ6628598

Michael P. Epstein, Claudia Solis-Lemus, Glen A. Satten, Sarah W. Curtis, Elizabeth J. Leslie

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

case-control studygenetic epidemiologymediation analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
• Genome-wide analyses of sparse mediation effects under composite null hypotheses
• Mediation Analysis with Multiple Mediators
• Logistic disease incidence models and case-control studies
• Statistical mediation analysis with a multicategorical independent variable
• Conditional and Unconditional Categorical Regression Models with Missing Covariates
• Inferences About Exposure-Disease Associations Using Probability-of- Exposure Information
• Prospective Analysis of Logistic Case-Control Studies
• Causal mediation analysis in nested case‐control studies using conditional logistic regression
• Mediation analysis in a case-control study when the mediator is a censored variable

Related Items (1)

Mediation analysis with case-control sampling: identification and estimation in the presence of a binary mediator

This page was built for publication: Efficient estimation of indirect effects in case-control studies using a unified likelihood framework