Hello,

I have mastered the intricacies of Bayesian Mixture modeling for dichotomous data (number of successes r in each treatment arm of size n), but am unsure as how to handle continuous outcome data in which there is no threshold of clinical success. I assume you set up with a mean of each treatment arm and use Precision, but I would love to see some code for a Bayesian mixture model (is that the correct term?) of a number of studies combined in a meta-analysis.

Any help will be greatly appreciated. Thank you in advance.

--

J. Michael Menke, DC, PhD | Post Doctoral Fellow,

Patient Reported Outcomes (PRO) Consortium

Critical Path Institute | 1730 E. River Rd., Suite 200

Tucson, AZ 85718-5893 | P 520.547.3449 | F 520.547.3456

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Evaluation Group for Analysis of Data

Department of Psychology

University of Arizona

1503 East University Blvd

Tucson, AZ 85721-0068

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