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A Flexible, Computationally Efficient Method for Fitting the Proportional Hazards Model to Interval-Censored Data
The proportional hazards model (PH) is currently the most popular regression model for analyzing time-to-event data. Despite its popularity, the analysis of interval-censored data under the PH model can be challenging using many available techniques. This paper presents a new method for analyzing in...
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| Publicado en: | Biometrics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4803641/ https://ncbi.nlm.nih.gov/pubmed/26393917 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12389 |
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