Mendelian randomization using semiparametric linear transformation models

DOI10.1002/sim.8449zbMATH Open1546.62331MaRDI QIDQ6627501

Yen-Tsung Huang

Publication date: 29 October 2024

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

zbMATH Keywords

instrumental variablesurvival analysisestimating equationshazard ratiosemiparametric probit model

Mathematics Subject Classification ID

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

Cites Work

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• Semiparametric analysis of transformation models with censored data
• Instrumental variables estimation of exposure effects on a time‐to‐event endpoint using structural cumulative survival models
• Semiparametric Transformation Models for Causal Inference in Time-to-Event Studies with All-or-Nothing Compliance
• Mendelian randomization as an instrumental variable approach to causal inference
• Instrumental variable method for time‐to‐event data using a pseudo‐observation approach
• Mediation analysis for survival data using semiparametric probit models
• Mediation analysis with causally ordered mediators using Cox proportional hazards model

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