Normal Approximation Diagnostics for the Cox Model
Article first published online: 25 MAY 2004
Volume 55, Issue 4, pages 1114–1119, December 1999
How to Cite
Chang, C.-C. H. and Weissfeld, L. A. (1999), Normal Approximation Diagnostics for the Cox Model. Biometrics, 55: 1114–1119. doi: 10.1111/j.0006-341X.1999.01114.x
- Issue published online: 25 MAY 2004
- Article first published online: 25 MAY 2004
- Received March 1997. Revised March 1999. Accepted March 1999.
- Censored data;
- Confidence region;
- Cox model;
- Normal approximation;
- Regression diagnostics
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 Association82, 149–154) and Cook and Tsai (1990, Journal of the American Statistical Association85, 770–777) and the curvature measures of Jennings (1986, Journal of the American Statistical Association81, 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.