This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 638
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #309168
Title: Partitioning the Contribution to Death Attributable from Multiple Time-Varying Coexisting Diseases
Author(s): Haiqun Lin*+
Companies: Yale University
Address: , , 06520, usa
Keywords: aaf ; sef ; le-aaf

The use of the average attributable fraction (AAF) based on a regression model for a dichotomous outcome has been developed in the last decade. This approach takes into account the interrelationship between coexisting risk factors when measuring how much disease burden (or death) could be reduced if some risk factors were eliminated. The AAF method partitions the total attributable fractions due to a set of diseases into the sum of attributable fractions for the individual diseases. We extend the AAF method, which was developed for situations in which disease occurrence and exposures are fixed in time, to the longitudinal situation in which the diseases and the outcome may be time-varying. The proposed longitudinal extension of AAF (LE-AAF) preserves the attractive properties of additivity and symmetry of the AAF. In this manuscript, we describe our method and apply it to the case of de

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