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Checking adequacy of the semiparametric location shift model with censored data
Authors:A J Rossini  L J Wei  Z Ying
Institution:(1) Department of Statistics, University of South Carolina, 29208 Columbia, SC;(2) Department of Biostatistics, Harvard School of Public Health, 02115 Boston, MA;(3) Department of Statistics, Rutgers University, 08903 New Brunswick, NJ
Abstract:The location shift model is commonly used to quantify the difference between groups in a two-arm study. Nonparametric inference procedures for the location shift parameter with censored observations have recently been extensively studied. However, the validity of these procedures depends heavily on the model assumption. In this article, a class of graphical and numerical methods are proposed for checking the adequacy of the location shift model. Our graphical procedures are much less subjective than the eye-ball method based on the standard Q-Q plot. The proposed methods are illustrated with real-life examples.
Keywords:Kaplan-Meier estimate  Omnibus test  Q-Q plot
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