This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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72
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Type:
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Contributed
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Date/Time:
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Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #306490 |
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Title:
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Kaplan-Meier Estimate and Its Modified CI
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Author(s):
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Dixi Xue*+
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Companies:
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Merck & Co., Inc.
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Address:
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556 Morris ave, Summit, NJ, 07901, USA
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Keywords:
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Kaplan-Meier method ;
Greenwood ;
Peto ;
hybrid method
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Abstract:
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The Kaplan-Meier method provides useful estimates of survival probabilities and graphical presentation of survival distribution. It is the most widely used method in survival data analysis. Breslow has shown that under certain conditions, the estimate is consistent and approximately normal. However, the Kaplan-Meier method has some drawbacks. For example, some researchers use the right-hand plateau of the Kaplan-Meier curve as a 'natural' estimate of the cure rate. This right-hand estimate tends to be quite imprecise. The reason is that Kaplan-Meier curves are highly unstable at the extreme right tail.
SAS® software provides Greenwood method to calculate the CI (confidence interval) for Kaplan-Meier estimates. A modified survival CI calculation by using modified Peto and hybrid variance estimates is provided associated with simulations.
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Authors who are presenting talks have a * after their name.
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