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Normal Approximation Diagnostics for the Cox Model
Author(s) -
Chang ChungChou H.,
Weissfeld Lisa A.
Publication year - 1999
Publication title -
biometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.298
H-Index - 130
eISSN - 1541-0420
pISSN - 0006-341X
DOI - 10.1111/j.0006-341x.1999.01114.x
Subject(s) - confidence interval , proportional hazards model , statistics , medicine , statistical model , lung cancer , statistical significance , mathematics
Summary. 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.