A simple test for independent censoring under the proportional hazards model.
A simple method for testing the assumption of independent censoring is developed using a Cox proportional hazards regression model with a time-dependent covariate. This method involves further follow-up of a subset of lost-to-follow-up censored subjects. An adjusted estimator of the survivor function is obtained for the dependent censoring model under a proportional hazards alternative. The proposed procedure is applied to an example of a clinical trial for lung cancer and a simulation study is given for investigating the power of the proposed test.
Lee
S Y
SY
Department of Applied Statistics, Sejong University, Seoul, Korea. leesy@cs.sejong.ac.kr
Wolfe
R A
RA
D018906:Antineoplastic Agents, Alkylating / Q000627:therapeutic use; D001699:Biometry / Q000379:methods*; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D003520:Cyclophosphamide / Q000627:therapeutic use; D006801:Humans; D008175:Lung Neoplasms / Q000188:drug therapy / Q000401:mortality; D016016:Proportional Hazards Models; D016019:Survival Analysis
D018906:Antineoplastic Agents, Alkylating; D003520:Cyclophosphamide