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Activity Number: 672
Type: Invited
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: Pharmaceutical Research and Manufacturers of America
Abstract #318311 View Presentation
Title: A Multivariate One-Directional Test of Multiple Event-Time Outcomes
Author(s): John M. Lachin* and Ionut Bebu
Companies: The George Washington University and The George Washington University
Keywords: multivariate event data ; Wei-Lachin Test ; composite outcome ; MACE
Abstract:

In a cardiovascular outcomes trial subjects may experience a Major Adverse Cardiovascular Event (MACE), usually defined as the time to either non-fatal MI, or non-fatal stroke, or cardiovascular death, whichever occurs first. The traditional composite analysis consists of standard survival analysis of the time to the first event, so that each subject contributes a single event or right censored time. However, this fails to capture the total burden of disease, such as when a non-fatal MI is followed by cardiovascular death, the latter not entering into the analysis. This may also sacrifice power. We describe a simple multivariate one-dimensional test, originally proposed by Wei and Lachin, that can provide a more powerful approach to the analysis of multiple event times. The method can also employ weights to reflect the perceived relative severity of each outcome. The method is applied to a past-completed cardiovascular outcomes study.


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

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