Comparison of censoring assumptions to reduce bias in tuberculosis treatment cohort analyses

OBJECTIVE: Observational tuberculosis cohort studies are often limited by a lack of long-term data characterizing survival beyond the initial treatment outcome. Though Cox proportional hazards models are often applied to these data, differential risk of long-term survival, dependent on the initial t...

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Detalles Bibliográficos
Autores principales: Brooks, Meredith B., Mitnick, Carole D., Manjourides, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571697/
https://www.ncbi.nlm.nih.gov/pubmed/33075072
http://dx.doi.org/10.1371/journal.pone.0240297

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571697/
https://www.ncbi.nlm.nih.gov/pubmed/33075072
http://dx.doi.org/10.1371/journal.pone.0240297

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