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