Abstract #302306

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JSM 2003 Abstract #302306
Activity Number: 473
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biopharmaceutical Section
Abstract - #302306
Title: Analyzing and Coping with the Data Collected from the CFSAN Adverse Event Reporting System
Author(s): Peng Tu Liu*+ and Debra Street
Companies: Food and Drug Administration and Food and Drug Administration
Address: 5100 Paint Branch Pkwy., College Park, MD, 20740,
Keywords: signal ; data mining ; mutual exclusivity ; odds ratio ; capture-recapture ; retrospective odds
Abstract:

The standard statistical procedures for analyzing a two-way contingency table are not adequate for analyzing the CAERS data due to the "multisymptom" and "multiexposure" confounding that is present. "Mutual-exclusivity" among cells, that is, no two cells having any cases in common, is a prerequisite for making any meaningful testing for the independence assumption. In this article we: 1) examine the sampling scheme and data structure, 2) define the sample unit, sample description space, and sample distribution, 3) estimate the number of exposures by the multi-capture-recapture technique, 4) reconstruct and decompose the table into numerous mini-2x2 contingency tables that do satisfy the "mutually-exclusive" requirement, 5) estimate the conditional odds and retrospective odds for assessing the impact of adverse reaction, and 6) test the significance of the odds ratio and use the corresponding p value for identifying the most problematic products.


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