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Department of Statistics, The Ohio State University
Statistics and Biostatistics Colloquium Series
A Bayesian Analysis of a Toxicity Study with Missing Data
Mark J. Schervish
Department of Statistics, Carnegie Mellon University
3:30PM - Thursday, November 16, 2006
Room 170, Eighteenth Avenue Bldg. (EA 170)
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.
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