188756 Bayesian hierarchical estimation of dose response curves

Tuesday, October 28, 2008: 4:30 PM

Richard F. MacLehose, PhD , Division of Biostatistics and Division of Epidemiology, University of Minnesota, Minneapolis, MN
David Dunson, PhD , Duke University, Durham, NC
David Richardson, PhD , Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
In many applications, there is interest in estimating a collection of related functions. For example, in epidemiology these functions may correspond to dose-response curves for an environmental exposure at different lag times. A typical approach to analyzing such data is to use splines to allow for flexible estimation of dose response curves. However, in lagged data extremely high correlation makes such approaches very unreliable (or impossible). Our focus is on estimating the dose-response effects of chrysotile asbestos exposure during multiple previous times on current mortality. Data come from an occupational cohort study of textile workers in South Carolina. We focus on hierarchical Bayesian methods for incorporating dependence between related dose response curves through an appropriate prior. We propose general classes of priors that induce flexible dependence in random functions. Efficient algorithms are developed for posterior inference. The methods are illustrated using simulations, and an application to the occupational cohort study examining the health effects of asbestos exposure.

Learning Objectives:
Recognize the importance of accurately estimating related dose-response curves and basic methods for implementation.

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I devised the model, programmed it, analyzed the data and wrote the corresponding paper.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.