Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatin

BACKGROUND: In the presence of dependent censoring even after stratification of baseline covariates, the Kaplan–Meier estimator provides an inconsistent estimate of risk. To account for dependent censoring, time-varying covariates can be used along with two statistical methods: the inverse probabili...

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Detalles Bibliográficos
Autores principales: Kawahara, Takuya, Shinozaki, Tomohiro, Matsuyama, Yutaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395418/
https://www.ncbi.nlm.nih.gov/pubmed/32736528
http://dx.doi.org/10.1186/s12874-020-01087-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7395418/
https://www.ncbi.nlm.nih.gov/pubmed/32736528
http://dx.doi.org/10.1186/s12874-020-01087-8

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