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**Herbert Lee**

I have used several model selection techniques for logistic regression, including stepwise regression, Occam's Window, Markov Chain Monte Carlo Model Composition (Raftery, Madigan, and Hoeting, 1993), and Bayesian Random Searching. The resulting models largely agree upon a subset of only one-third of the original variables.

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Keywords:Bayes Factor, Model Uncertainty, Markov Chain Monte
Carlo, Logistic Regression
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