Two-sample statistics for testing the equality of survival functions against improper semi-parametric accelerated failure time alternatives: an application to the analysis of a breast cancer clinical trial.
This paper presents two-sample statistics suited for testing equality of survival functions against improper semi-parametric accelerated failure time alternatives. These tests are designed for comparing either the short- or the long-term effect of a prognostic factor, or both. These statistics are obtained as partial likelihood score statistics from a time-dependent Cox model. As a consequence, the proposed tests can be very easily implemented using widely available software. A breast cancer clinical trial is presented as an example to demonstrate the utility of the proposed tests.
Department of Public Health and National Institute for Health and Medical Research (INSERM U472) Paul Brousse Hospital, Villejuif, France and Institut Curie, 26 rue d'Ulm, Paris, France. broet@vjf.inserm.fr
Philippe
P
Broët
Alexander
A
Tsodikov
Yann
Y
De Rycke
Thierry
T
Moreau
D001943:Breast Neoplasms / Q000188:drug therapy / Q000401:mortality; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D016013:Likelihood Functions; D015233:Models, Statistical; D017697:Premenopause; D016016:Proportional Hazards Models; D016032:Randomized Controlled Trials as Topic; D016019:Survival Analysis; D013997:Time Factors; D017211:Treatment Failure