Pseudo-Observation Approach for Length-Biased Cox Proportional Hazards Model.

ABSTRACT: Pseudo-observations are used to estimate the expectation of a function of interest in a population when survival data are incomplete due to censoring or truncation. Length-biased sampling is a special case of a left-truncation model, in which the truncation variable follows a uniform distribution. This phenomenon is commonly encountered in various fields such as survival analysis and epidemiology, where the event of interest is related to the length or duration of an underlying process. In such settings, the probability of observing a data point is higher for longer lengths, leading to biased sampling. The goal of this paper is to apply pseudo-observations to estimate the regression coefficients in the Cox proportional hazards model under length-biased right-censored (LBRC) data. We assess

SUBMITTER: Akbari M 

PROVIDER: S-EPMC12576048 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature