JSM 2011 Online Program

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Abstract Details

Activity Number: 190
Type: Contributed
Date/Time: Monday, August 1, 2011 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #302817
Title: Flexible Assessment of Skewed Exposure in Case-Control Studies with Case-Specific and Random Pooling
Author(s): Neil J. Perkins*+ and Brian Whitcomb and Robert H. Lyles and Enrique F. Schisterman
Companies: Eunice Kennedy Shriver National Institute of Child Health and Human Development and University of Massachusetts and Emory University and Eunice Kennedy Shriver National Institute of Child Health and Human Development
Address: 6100 Executive blvd, rockville, MD, 20852,
Keywords: gamma distribution ; set-based regression ; pooling ; biomarkers ; efficient design

Pooled and hybrid, pooled-unpooled, designs have been proposed for epidemiologic study of biomarkers to minimize cost, while maintaining efficiency as well as several other physical and statistical benefits. Set-based logistic regression has been proposed for use with pooled data; however, analysis has been limited by assumptions regarding exposure distribution and logit-linearity of risk (i.e., constant odds ratio). We have developed a more flexible model for analysis of pooled or hybrid data using characteristics of the gamma distribution. A modified logistic regression is used to accommodate non-linearity corresponding to removal of the restriction of equal shape parameters in the gamma distributed exposure for cases and controls. Full maximum likelihood estimation is compared to a more standard logistic regression approach via simulation to assess consistency and efficiency of risk effect estimates given random and disease specific pooled, hybrid data. Our methods are demonstrated through effect estimates of pooled cytokines data on perinatal outcomes.

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