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Activity Number: 296
Type: Luncheons
Date/Time: Tuesday, August 8, 2006 : 12:30 PM to 1:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #305571
Title: Preferred Methods of Dealing with Missing Data in Clinical Trials
Author(s): Rukmini Rajagopalan*+
Companies: Abbott Laboratories
Address: Global Health Economics and Outcomes Research, Abbott Park, IL, ,
Keywords: missing data ; clinical trials ; interpolation ; last value carried forward
Abstract:

In the statistical analysis of data from clinical trials, it is essential that data collected are complete. The integrity of the analysis and results depend on the completeness of the data on each subject of the sample because the specified power of the analysis will be achieved only if all subjects of the sample contribute values for the stipulated observations. The problem of missing data is insurmountable. A host of literature exists that advises statisticians to deal with the issue. Several methods for this have been examined and perfected, including interpolation, extrapolation, value averaging, and process of last value carried forward when there are missing values in the efficacy variables. Of course, depending on the study and the efficacy endpoint, each of these methods has advantages and disadvantages.

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Revised April, 2006