Model-free predictor tests in survival regression through sufficient dimension reduction.
In this article, we test the effects of predictors in survival regression through two well-known sufficient dimension reduction methods. Since the usual sufficient dimension reduction methods do not require pre-specified models, the predictor effect tests can be considered model-free. All of the test statistics have χ (2) distributions. Numerical studies of the proposed predictor effect tests in various simulations and real data application are presented.
Department of Statistics, Ewha Womans University, Seoul, 120-750, Republic of Korea. peter.yoo@ewha.ac.kr
Jae Keun
JK
Yoo
Keunbaik
K
Lee
D016009:Chi-Square Distribution; D003198:Computer Simulation; D005260:Female; D005544:Forecasting / Q000379:methods*; D006801:Humans; D008105:Liver Cirrhosis, Biliary / Q000473:pathology; D008297:Male; D011237:Predictive Value of Tests; D012044:Regression Analysis; D016019:Survival Analysis