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125 * !
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Mon, 8/8/2022,
10:30 AM -
12:20 PM
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CC-150B
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Practical Recommendations for Prediction Modeling That Advance Innovation — Invited Papers
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Section on Statistical Learning and Data Science, Biometrics Section, Health Policy Statistics Section
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Organizer(s): Jaime Lynn Speiser, Wake Forest School of Medicine
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Chair(s): Heather Shappell, Wake Forest School of Medicine
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10:35 AM
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Variable Selection with Random Forest: Choosing the Best Method for Different Types of Data
Jaime Lynn Speiser, Wake Forest School of Medicine
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10:55 AM
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Current Methods for Evaluating Prediction Model Performance
Michael W. Kattan, Cleveland Clinic
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11:15 AM
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Cross Validation for Small and Imbalanced Data
Nathaniel O'Connell, Wake Forest School of Medicine
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11:35 AM
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Disseminating Prediction Methods: Avoiding Computational Bottlenecks and Developing User-Friendly APIs
Byron Casey Jaeger, Wake Forest School of Medicine
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11:55 AM
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Discussant: Joseph Rigdon, Wake Forest School of Medicine
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12:15 PM
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Floor Discussion
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