Comparison of censoring assumptions to reduce bias in tuberculosis treatment cohort analyses.
<h4>Objective</h4>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, depende...
| Автори: | , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Public Library of Science (PLoS)
2020-01-01
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| Серія: | PLoS ONE |
| Онлайн доступ: | https://doi.org/10.1371/journal.pone.0240297 |