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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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| Publié dans: | BMC Med Res Methodol |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7395418/ https://ncbi.nlm.nih.gov/pubmed/32736528 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-020-01087-8 |
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