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Activity Number:
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430
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Type:
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Luncheons
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Date/Time:
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Wednesday, August 9, 2006 : 12:30 PM to 1:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #305397 |
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Title:
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Sensitivity Analysis for Missing Data in Clinical Trials
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Author(s):
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Jie Zhang*+
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Companies:
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Novartis Pharmaceuticals Corporation
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Address:
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One Health Plaza, Building 405, Room 2117, East Hanover, NJ, 07936,
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Keywords:
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non-ignorable missingness ; confirmatory studies ; bias
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Abstract:
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When undertaking confirmatory, possibly model-based analyses of data from clinical trials, statisticians are confronted frequently with having to assess and address potential biases introduced by missing data. New developments for handling missing data have proliferated in the literature. Sensitivity analysis, which allows the assessment of the impact of a range of nonignorable missing patterns on the robustness of the statistical results, provides a unique and powerful alternative for analyzing missing data. An example utilizing sensitivity analysis in a large fracture trial will be described briefly. Practical issues associated with the application of sensitivity analysis will be discussed thereafter.
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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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