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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 no: | Comput Stat Data Anal |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | 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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