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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444
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Type:
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Invited
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Date/Time:
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Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #306278 |
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Title:
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Handling of Missing Data in Clinical Trials: Findings of a National Research Council Study
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Author(s):
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Roderick Joseph Little*+
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Companies:
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University of Michigan
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Address:
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Department of Biostatistics-SPH , Ann Arbor, MI, 48109-2029,
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Keywords:
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missing data ;
clinical trials
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Abstract:
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The report of the National Academy of Sciences Committee on Handling Missing Data in Clinical Trials contains a number of principles and methods for use in the design and conduct of clinical trials and for accommodating the presence of missing data at the analysis stage. This includes the primary importance of the causal estimand, resulting designs that are consistent with the selected estimand, the primary importance of linking the assumptions underlying analytic approaches taken and the subject-matter support for those assumptions, and the various analysis techniques that are now the state of the art, such as likelihood-based approaches, semi-parametric models, and multiple imputation methods.
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