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Activity Number: 544
Type: Contributed
Date/Time: Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Learning and Data Mining
Abstract - #307752
Title: Using Distance Correlation and SS-ANOVA to Assess Associations of Familial Relationships, Lifestyle Factors, Diseases, and Mortality
Author(s): Jing Kong*+ and Barbara Klein and Ronald Klein and Kristine Lee and Grace Wahba
Companies: Department of Statistics, University of Wisconsin - Madison and Department of Ophthalmology, University of Wisconsin - Madison and Department of Ophthalmology, University of Wisconsin - Madison and University of Wisconsin - Madison and Department of Statistics, University of Wisconsin - Madison
Keywords: pedigrees ; genetic relationships ; dissimilarity ; distance correlation ; SS-ANOVA ; RKE
Abstract:

We present a method for examining mortality as it is seen to run in families, and lifestyle factors that are also seen to run in families, in a subpopulation of the Beaver Dam Eye Study that has died by 2011. Our goal is to examine the hypothesis that pairwise differences in lifestyle factors correlate with the observed pairwise differences in death age that run in families. Szekely and coworkers have recently developed a method called distance correlation, that is suitable for this task with some enhancements relevant to the particular task at hand. Using distance correlation and smoothing spline ANOVA (SS-ANOVA) model, we find significant distance correlations between death ages, lifestyle factors, and family relationships. Considering only sib pairs compared to unrelated persons, distance correlation between siblings and mortality is, not surprisingly, stronger than that between more distantly related family members and mortality. The overall methodological approach here easily adapts to exploring relationships between multiple clusters of variables with real-valued observable attributes, and other factors for which only possibly nonmetric pairwise dissimilarities are observed.


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