Assessment of covariate effects in Aalen's additive hazard model.
We study the properties of test statistics for a covariate effect in Aalen's additive hazard model and propose several new test statistics. The proposed statistics are derived by using the weights from linear rank statistics for comparing two survival curves. We compare these statistics with the two statistics proposed by Aalen using Monte Carlo simulations. Several different survival configurations are considered in the simulation study: proportional hazards; crossing hazards; hazard differences early in time, and hazard differences for large survival times. Of the proposed test statistics, one is superior for detecting hazard differences for large survival times and another is superior for detecting early hazard differences and crossing hazards.
Lee
E
E
Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pennsylvania 15216, USA.
Weissfeld
L A
LA
D000163:Acquired Immunodeficiency Syndrome / Q000453:epidemiology; D002289:Carcinoma, Non-Small-Cell Lung / Q000401:mortality; D006679:HIV Seropositivity / Q000453:epidemiology; D006801:Humans; D016014:Linear Models; D008137:Longitudinal Studies; D008175:Lung Neoplasms / Q000401:mortality; D008297:Male; D015233:Models, Statistical; D015143:Philadelphia / Q000453:epidemiology; D016016:Proportional Hazards Models; D018401:Sample Size; D018709:Statistics, Nonparametric; D016019:Survival Analysis