This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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 - #308132 |
Title:
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On the Clinical Meaningfulness of a Treatment's Effect on a Time-to-Event Variable
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Author(s):
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Qi Jiang*+ and Steven Snapinn
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Companies:
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Amgen Inc. and Amgen Inc.
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Address:
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One Amgen Center Drive , Thousand Oaks, CA, 91320,
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Keywords:
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Hazard Ratio ;
Event Rates ;
Median Survival Times
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Abstract:
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The standard analysis of a time-to-event variable often involves the calculation of a hazard ratio based on a survival model such as Cox regression. However, a relative measure of effect such as the hazard ratio is sometimes considered to be a poor measure of clinical meaningfulness. Two absolute measures of effect are often used to assess clinical meaningfulness: 1) the absolute difference in event rates (or its inverse, the number-needed-to-treat) is frequently used in many disease areas; 2) the difference between the median survival times in the two groups is often used in oncology trials. While both of these measures appear reasonable, it doesn't seem to be well-known that they directly contradict each other. In this presentation we'll give a mathematical description of the contradiction, and examples. This contradiction raises questions about the concept of clinical meaningfulness.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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