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Bayesian analysis for partly linear Cox model with measurement error and time‐varying covariate effect
The Cox proportional hazards model is commonly used to estimate the association between time‐to‐event and covariates. Under the proportional hazards assumption, covariate effects are assumed to be constant in the follow‐up period of study. When measurement error presents, common estimation methods t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489624/ https://www.ncbi.nlm.nih.gov/pubmed/35899596 http://dx.doi.org/10.1002/sim.9531 |