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Activity Number: 342
Type: Invited
Date/Time: Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
Sponsor: Section on Bayesian Statistical Science
Abstract - #303087
Title: Bayesian Shrinkage Models for Associations Involving Sparse Data
Author(s): William DuMouchel*+
Companies: Phase Forward Lincoln Safety Group
Address: 7164 N Mercer Spring Pl, Tucson, AZ, 85718,
Keywords: drug safety ; pharmacovigilance ; adverse event ; MedDRA ; ICD9 ; drug class
Abstract:

For applications like measuring associations between drugs and adverse events in databases, the number of drugs and the number of adverse event codes may be so large that any particular drug-event combination occurs too infrequently for accurate estimation. If a hierarchy is available placing drugs into drug classes, as well as an analogous hierarchy of a medical event vocabulary, then Bayesian models can be used to allow small counts to "borrow strength" from other counts nearby in the two hierarchies. Diverse examples will be given using data from spontaneous reports, from collections of clinical trials, and from medical health records databases.

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Revised September, 2008