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JSM 2012 Online Program

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Activity Details

CE_28T Wed, 8/1/2012, 8:00 AM - 9:45 AM HQ-Indigo 202
Predictive Modeling in the Life Sciences — Continuing Education CTW
Instructor(s): Russell Wolfinger, SAS Institute, Richard Zink, SAS Institute
Unlike commercial data mining applications in finance, retail, and telecommunications, data sets from life science domains typically have orders of magnitude more predictors than observations. In these "wide data" instances, it is very easy to overfit the data with predictive models. Furthermore, it is rarely obvious what form of predictive model will be best for a new data set. Consequently, honest cross validation model comparison is essential to achieve some assurance of generalizability and optimality. In this hands-on workshop, we will introduce the predictive modeling capabilities of JMP Clinical and JMP Genomics. These products combine the analytical power of SAS with the elegant user interface and dynamic graphics of JMP. We'll describe techniques for reducing the predictor space, demonstrate tools for comparing a large pool of potential models to find the best ones for a given data set, and discuss drill-down actions for determining the usefulness of a particular model. Data from a clinical trial of aneurysmal subarachnoid hemorrhage and a genomics study using next generation sequencing will provide illustration. Participants will be provided with a free trial version of JMP and a journal with results scripts. It is assumed that attendees have had a prior course in statistical modeling.

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