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A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring
BACKGROUND: Failure time data frequently occur in many medical studies and often accompany with various types of censoring. In some applications, left truncation may occur and can induce biased sampling, which makes the practical data analysis become more complicated. The existing analysis methods f...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071649/ https://www.ncbi.nlm.nih.gov/pubmed/37016341 http://dx.doi.org/10.1186/s12874-023-01903-x |