Comparing survival times for treatments with those for a control under proportional hazards.
Inferences for survival curves based on right censored data are studied for situations in which it is believed that the treatments have survival times at least as large as the control or at least as small as the control. Testing homogeneity with the appropriate order restricted alternative and testing the order restriction as the null hypothesis are considered. Under a proportional hazards model, the ordering on the survival curves corresponds to an ordering on the regression coefficients. Approximate likelihood methods, which are obtained by applying order restricted procedures to the estimates of the regression coefficients, and ordered analogues to the log rank test, which are based on the score statistics, are considered. Mau's (1988) test, which does not require proportional hazards, is extended to this ordering on the survival curves. Using Monte Carlo techniques, the type I error rates are found to be close to the nominal level and the powers of these tests are compared. Other order restrictions on the survival curves are discussed briefly.
Singh
B
B
Department of Statistics, University of Missouri, Columbia 65211-4100, USA.
Wright
F T
FT
D018849:Controlled Clinical Trials as Topic / Q000706:statistics & numerical data; D006801:Humans; D015993:Life Tables; D009010:Monte Carlo Method; D016016:Proportional Hazards Models; D016019:Survival Analysis; D016896:Treatment Outcome