Cargando...
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...
Guardado en:
| Publicado en: | PLoS One |
|---|---|
| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Public Library of Science
2020
|
| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7571697/ https://ncbi.nlm.nih.gov/pubmed/33075072 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0240297 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|