Estimating multiple time-fixed treatment effects using a semi-Bayes semiparametric marginal structural Cox proportional hazards regression model

Marginal structural models for time-fixed treatments fit using inverse-probability weighted estimating equations are increasingly popular. Nonetheless, the resulting effect estimates are subject to finite-sample bias when data are sparse, as is typical for large-sample procedures. Here we propose a...

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Publicado en:Biom J
Autores principales: Cole, Stephen R., Edwards, Jessie K., Westreich, Daniel, Lesko, Catherine R., Lau, Bryan, Mugavero, Michael J., Mathews, W. Christopher, Eron, Joseph J., Greenland, Sander
Formato: Artigo
Lenguaje:Inglês
Publicado: 2017
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6771415/
https://ncbi.nlm.nih.gov/pubmed/29076182
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201600140
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