A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring

A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring

Abstract 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 m...

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Bibliographic Details
Main Authors: Li Shao, Hongxi Li, Shuwei Li, Jianguo Sun
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Medical Research Methodology
Subjects:
Cox model
EM algorithm
Interval censoring
Left truncation
Partly interval-censored data
Online Access:https://doi.org/10.1186/s12874-023-01903-x

Internet

https://doi.org/10.1186/s12874-023-01903-x

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