On the logic of collapsibility for causal effect measures

DOI10.1002/bimj.202000305OpenAlexW3128316034MaRDI QIDQ6068460

Vanessa Didelez, Mats J. Stensrud

Publication date: 15 December 2023

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.202000305

zbMATH Keywords

survival analysiscollapsibilityconfoundingcausal inference

Mathematics Subject Classification ID

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

Cites Work

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• Does Cox analysis of a randomized survival study yield a causal treatment effect?
• On collapsibility and confounding bias in Cox and Aalen regression models
• Graphical models for inference under outcome-dependent sampling
• Confounding and collapsibility in causal inference
• Subtleties in the interpretation of hazard contrasts
• Adjustments and their Consequences-Collapsibility Analysis using Graphical Models
• International Encyclopedia of Statistical Science
• Estimating a Marginal Causal Odds Ratio Subject to Confounding
• A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
• On null hypotheses in survival analysis
• Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets

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