This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 668
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #309340
Title: Using Integrated Difference Between Two Kaplan-Meier Curves for Quantifying Treatment Contrast in Comparative Clinical Trials with Event Time Observations
Author(s): Lihui Zhao*+
Companies: Harvard School of Public Health
Address: 655 Huntington Ave, Boston, MA, 02115,
Keywords: Confidence interval ; Integrated survival rate difference ; Martingale ; Perturbation-resampling method ; Proportional hazards

For a typical comparative clinical trial to assess relative efficacy or safety between two treatment groups with an event time as the endpoint, often we assume that the ratio of two hazard functions is constant over the study time. One then utilizes such a proportional hazards parameter to quantify the treatment contrast. In this paper, we propose an alternative metric, the integrated survival rate difference over a specific time interval of interest, for quantifying the treatment contrast. The confidence interval estimate for this metric can be constructed using the perturbation-resampling method discussed in Parzen, Ying and Wei (1997). We show that when the event rates for two treatment groups are small and similar, the integrated survival rate difference is preferable than the proportional hazards parameter. The data from a recent trial is used for illustration.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.