Abstract
Length-biased lifetimes may be collected in observational studies or sample surveys due to biased sampling scheme. In this article, we use a linear regression model, namely, the accelerated failure time model, for the population lifetime distributions in regression analysis of the length-biased lifetimes. It is discovered that the associated regression parameters are invariant under the length-biased sampling scheme. According to this discovery, we propose the quasi partial score estimating equations to estimate the population regression parameters. The proposed methodologies are evaluated and demonstrated by simulation studies and an application to actual data set.
Disciplines
Biostatistics | Statistical Methodology | Statistical Models | Statistical Theory | Survival Analysis
Suggested Citation
Chen, Ying Qing and Wang, Yan, "Linear Regression of Censored Length-biased Lifetimes" (July 2005). UW Biostatistics Working Paper Series. Working Paper 258.
https://biostats.bepress.com/uwbiostat/paper258
Included in
Biostatistics Commons, Statistical Methodology Commons, Statistical Models Commons, Statistical Theory Commons, Survival Analysis Commons