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

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

Abstract 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 p...

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Bibliographic Details
Main Authors: Takuya Kawahara, Tomohiro Shinozaki, Yutaka Matsuyama
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Research Methodology
Subjects:
Double robustness
Dependent censoring
Prediction
Time-varying covariate
Online Access:http://link.springer.com/article/10.1186/s12874-020-01087-8

Internet

http://link.springer.com/article/10.1186/s12874-020-01087-8

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