You are not currently logged in.
Access JSTOR through your library or other institution:
If You Use a Screen ReaderThis content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Evaluating Serial Cancer Marker Studies in Patients at Risk of Recurrent Disease
Mitchell H. Gail
Vol. 37, No. 1 (Mar., 1981), pp. 67-78
Published by: International Biometric Society
Stable URL: http://www.jstor.org/stable/2530523
Page Count: 12
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Preview not available
The proportional hazards model of Cox (1972, Journal of the Royal Statistical Society, Series B 34, 187-220), with a time-dependent covariate, is used to analyze serial cancer marker data. A particular advantage of this method is the ease with which missing marker data are handled. Analysis of a real data set shows that high levels of the cancer marker carcinoembryonic antigen (CEA) are associated with increased risk of death in patients with resected colorectal cancer. Several aspects of CEA marker history are analyzed, including CEA level at death time t, CEA level 200 days prior to time t, and whether or not CEA exceeded 5 ng/ml prior to t. Methods to test the hypothesis of no marker effect and to give estimates and confidence intervals for model parameters are outlined both for continuous and for grouped time-to-response data. For grouped data a likelihood ratio test of the proportional hazards assumption is suggested.
Biometrics © 1981 International Biometric Society