JSM 2005 Online Program

Abstract #303695

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	144
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor:	Section on Statistics in Epidemiology
Abstract - #303695
Title:	A Nonparametric Agreement Measure for Discrete Survival Outcomes
Author(s):	Ying Guo*+ and Amita K. Manatunga
Companies:	Emory University and Emory University
Address:	1518 Clifton RD NE, Atlanta, GA, 30322, United States
Keywords:	Agreement ; Bivariate Discrete Survival Times ; Weighted Kappa Coefficient ; Cancer Epidemiology
Abstract:	Often, disease occurrence time of the same subject can be measured by using two methods. It is of interest to compare the disease-free survival rates between the two methods and determine whether both methods measure disease freedom in the same manner for each subject. To achieve these goals, we propose an agreement measure for bivariate discrete survival times evaluated on the same subject with different methods. The proposed measure is derived from Cohen's weighted kappa coefficient. A nonparametric estimator for the measure is developed through a bivariate survival function estimator and accounts for censored observations. We illustrate the method with a prostate cancer epidemiology study where patients with prostate cancer are treated with simultaneous radiotherapy and each patient's cancer recurrence time is measured with two definitions based on the posttreatment prostate specific antigen (PSA) level.

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