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Seminar: Mark J. Schervish

Statistics Seminar
November 16, 2006
All Day
209 W. Eighteenth Ave. (EA), Room 170

Title

A Bayesian Analysis of a Toxicity Study with Missing Data

Speaker

Mark J. Schervish, Carnegie Mellon University

Abstract

We use Bayesian hierarchical models to infer the relationships between the dose of a drinking water contaminant (perchlorate), blood levels of thyroid hormones and indicators of precancerous conditions in rats. Our statistical model is constructed to correspond to a mechanistic model for the effects of perchlorate on the response variables. The structure of our model helps us to deal with some issues that arise because certain useful data items were either not recorded or not collected. 

This is joint work with Taeryon Choi, Ketra Schmitt and Mitchell Small. 

Meet the speaker in Room 212 Cockins Hall at 4:30 p.m. Refreshments will be served.