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...

Descripción completa

Detalles Bibliográficos
Autores principales: Shao, Li, Li, Hongxi, Li, Shuwei, Sun, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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

Ejemplares similares