Sample size determination for an exponential survival model with an unrestricted covariate.
We derive formulae for estimating sample size and power for detecting the effect of an unrestricted covariate on survival time. These are useful in designing survival studies with different patterns of recruitment and follow-up when survival time is exponentially distributed. We use the asymptotic covariance matrix, conditional expectation and Taylor's expansion techniques to develop these formulae. Computer simulations indicate that the asymptotic approximations used in developing the formulae are good over a range of parameter values and different patterns of recruitment and follow-up that are relevant to survival studies.
Zhen
B
B
Department of Preventive Medicine and Biometrics, University of Colorado Health Sciences Center, Denver 80262.
Murphy
J R
JR
D003198:Computer Simulation; D005163:Factor Analysis, Statistical; D006801:Humans; D008432:Mathematical Computing; D008545:Melanoma / Q000401:mortality / Q000628:therapy; D008550:Melatonin / Q000008:administration & dosage; D015233:Models, Statistical; D016016:Proportional Hazards Models; D012494:Sampling Studies; D012878:Skin Neoplasms / Q000401:mortality / Q000628:therapy; D012880:Skin Pigmentation / Q000187:drug effects; D012984:Software; D016019:Survival Analysis
D008550:Melatonin