Checking adequacy of the semiparametric location shift model with censored data.
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.
Rossini
A J
AJ
Department of Statistics, University of South Carolina, Columbia 29208, USA. rossini@stat.sc.edu
Wei
L J
LJ
Ying
Z
Z
D000163:Acquired Immunodeficiency Syndrome / Q000188:drug therapy / Q000401:mortality; D000998:Antiviral Agents / Q000008:administration & dosage; D003627:Data Interpretation, Statistical; D006801:Humans; D015993:Life Tables; D015233:Models, Statistical; D016019:Survival Analysis; D015215:Zidovudine / Q000008:administration & dosage
D000998:Antiviral Agents; D015215:Zidovudine