JSM 2013 Home
Online Program Home
My Program

Abstract Details

Activity Number: 242
Type: Contributed
Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #310319
Title: Effects of Interval Censoring on Kaplan-Meier Estimates of Median Survival and Difference in Median Survival
Author(s): Ying Zhou*+ and Chunlei Ke
Companies: Amgen and Amgen
Keywords: Interval censoring ; Median Survival ; Kaplan-Meier estimator
Abstract:

Interval-censored data are commonly observed in clinical trials with time-to-event outcomes, such as disease progression which is usually measured at periodic clinic visits or through scheduled imaging assessment. Statistical methods have been developed to analyze this type of data over the past three decades. In clinical studies, however, these methods are not commonly used; and interval-censored data are usually simplified into a right censoring situation and analyzed by standard right-censored methods. In our presentation, we study the effect of the interval length on the Kaplan-Meier (KM) estimates of median survival and difference in median survival between treatment arms, and conduct simulations under various scenarios. We also compare the KM estimates with the estimates obtained through an approach incorporating interval censoring.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2013 program




2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

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

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.