JSM 2004 - Toronto

Abstract #301761

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Activity Number: 166
Type: Contributed
Date/Time: Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301761
Title: Distinguishing the Presence of Common Risk Factors from a Causal Relationship When Two Traits Co-aggregate
Author(s): Fanesca Young*+ and Daniel Rabinowitz
Companies: Columbia University and Columbia University
Address: , , ,
Keywords: familial co-aggregation ; permutation test ; febrile seizure ; epilepsy
Abstract:

Familial co-aggregation of two traits may result from the influence of common risk factors or from the influence of one trait on the other in the presence of aggregation of the former. It is shown that there are sources of information in the patterns of co-aggregation of the traits in family data for detecting one or another of the two kinds of influences, and for detecting, in the presence of the influence of one trait on the other, the influence of common risk factors. A systematic investigation of the sources of information reveal that in many cases, methods based on known population rates for the traits are vastly superior to permutation tests. The influence of various trait-based sampling schemes on the power to distinguish the two types of influence is examined and the results are used to provide guidance for study design. Data on co-aggregation of febrile seizure and epilepsy are used for illustration.

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