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Activity Number:
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149
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 3, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #304735 |
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Title:
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Developing an Analytic Road Map for Incomplete Longitudinal Clinical Trial Data
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Author(s):
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Adam Meyers*+
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Companies:
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Lilly USA, LLC
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Address:
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, , ,
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Keywords:
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missingness ; missing ; clinical ; trial ; data ; simulation
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Abstract:
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Despite the best efforts of researchers, missing data persists as a challenging reality in the analysis of controlled clinical trials. Results from simulation studies will be used to illustrate the advantages of missing at random (MAR) methods over missing completely at random (MCAR) methods. Actual clinical trial data will be used to illustrate restrictive and inclusive modeling approaches for common MAR methods, along with the use of missing not at random (MNAR) analyses and local influence as sensitivity analyses. These results are used to support the position that no universally best analytic approach exists, but that in many areas of drug development including controlled clinical trials, analyses can be based on an MAR approach with MNAR methods and other tools used as sensitivity analyses.
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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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