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Checking semiparametric transformation models with censored data
Semiparametric transformation models provide a very general framework for studying the effects of (possibly time-dependent) covariates on survival time and recurrent event times. Assessing the adequacy of these models is an important task because model misspecification affects the validity of infere...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Oxford University Press
2012
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3276276/ https://ncbi.nlm.nih.gov/pubmed/21785165 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxr017 |
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