JSM 2005 - Toronto

Abstract #303363

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Activity Number: 200
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #303363
Title: Nonparametric Tests for a Common Risk Factor
Author(s): Fanesca Young*+
Companies: Columbia University
Address: 521 West 112th St, New York, NY, 10025, United States
Keywords: familial co-aggregation ; non-parametric tests ; causal inference
Abstract:

Two familial diseases may tend to coaggregate when one is a risk factor for another, or when there is a common risk factor for both. Here, two nonparametric tests are developed: a nonparametric test of the null hypothesis that there is neither a causal effect of one on the other nor a common risk factor and a test of the null hypothesis that, though there may be a causal relationship, there is no common risk factor. A permutation test is presented and illustrated through an application to data on childhood febrile seizure and epilepsy.

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