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Analysis of Generalized Semiparametric Regression Models for Cumulative Incidence Functions with Missing Covariates

The cumulative incidence function quantifies the probability of failure over time due to a specific cause for competing risks data. The generalized semiparametric regression models for the cumulative incidence functions with missing covariates are investigated. The effects of some covariates are mod...

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Publicado en:Comput Stat Data Anal
Main Authors: Lee, Unkyung, Sun, Yanqing, Scheike, Thomas H., Gilbert, Peter B.
Formato: Artigo
Idioma:Inglês
Publicado: 2018
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Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5993453/
https://ncbi.nlm.nih.gov/pubmed/29892140
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2018.01.003
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