“Shared Parameter Mixed-Effects Location Scale Models for Intensive Longitudinal Data,” presented by Dr. Donald Hedeker, University of Chicago

“Test Validation for a Crisis: Five Practical Heuristics for the Best and Worst of Times,” presented by Dr. Andrew Ho, Harvard University

“Machine Learning Prediction Modeling for Longitudinal Outcomes in Older Adults,” presented by Dr. Jaime Lynn Speiser, Wake Forest University

“How Auxiliary Information Can Help Your Missing Data Problem,” presented by Dr. Jerry Reiter, Duke University

“Overlap Weighting for Causal Inference,” presented by Dr. Fan Li, Duke University

“Assessing Personalization in Digital Health,” presented by Dr. Susan Murphy, Harvard University

“The Collapse of Scientific Standards in the World of High Visibility Survey Research,” presented by Dr. Jon Krosnick, Stanford University

“Developments and Extensions in the Quantification of Model Uncertainty: A Bayesian Perspective,” presented by David Kaplan, University of Wisconsin-Madison

“thinkCausal: One Stop Shopping for Answering your Causal Inference Questions,” presented by Jennifer Hill, Columbia University

“Bayesian Covariance Structure Modeling: An Overview and New Developments,” presented by Jean-Paul Fox, University of Twente