title: Normal approximation diagnostics for the Cox model.
abstract: We discuss two diagnostic methods for assessing the accuracy of the normal approximated confidence region to the likelihood-based confidence region for the Cox proportional hazards model with censored data. The proposed diagnostic methods are extensions of the contour measures of Hodges (1987, Journal of the American Statistical Association 82, 149-154) and Cook and Tsai (1990, Journal of the American Statistical Association 85, 770-777) and the curvature measures of Jennings (1986, Journal of the American Statistical Association 81, 471-476) and Cook and Tsai (1990). These methods are also illustrated in a study of hepatocyte growth factor in patients with lung cancer and a Mayo Clinic randomized study of participants with primary biliary cirrhosis.
authors: Department of Medicine, University of Pittsburgh, Pennsylvania 15213, USA. changj@vms.cis.pitt.edu
authors: C C
authors: CC
authors: Chang
authors: L A
authors: LA
authors: Weissfeld
mesh_terms: D001699:Biometry; D002289:Carcinoma, Non-Small-Cell Lung / Q000378:metabolism / Q000401:mortality; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data; D016001:Confidence Intervals; D017228:Hepatocyte Growth Factor / Q000378:metabolism; D006801:Humans; D016013:Likelihood Functions; D008105:Liver Cirrhosis, Biliary / Q000097:blood / Q000401:mortality; D008175:Lung Neoplasms / Q000378:metabolism / Q000401:mortality; D016016:Proportional Hazards Models; D016019:Survival Analysis
chemical_list: D017228:Hepatocyte Growth Factor