title: The accelerated failure time model under biased sampling.
abstract: Chen (2009, Biometrics) studies the semi-parametric accelerated failure time model for data that are size biased. Chen considers only the uncensored case and uses hazard-based estimation methods originally developed for censored observations. However, for uncensored data, a simple linear regression on the log scale is more natural and provides better estimators.
authors.affiliation: The Hebrew University, Mount Scopus, Jerusalem, Israel. msmic@huji.ac.il
authors.forename: Micha
authors.initials: M
authors.lastname: Mandel
authors.forename: Ya'akov
authors.initials: Y
authors.lastname: Ritov
mesh_terms: D001699:Biometry / Q000379:methods*; D016014:Linear Models; D015233:Models, Statistical; D015983:Selection Bias; D013997:Time Factors