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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| 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 |