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On estimation for accelerated failure time models with small or rare event survival data
BACKGROUND: Separation or monotone likelihood may exist in fitting process of the accelerated failure time (AFT) model using maximum likelihood approach when sample size is small and/or rate of censoring is high (rare event) or there is at least one strong covariate in the model, resulting in infini...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188212/ https://www.ncbi.nlm.nih.gov/pubmed/35689190 http://dx.doi.org/10.1186/s12874-022-01638-1 |