61. Methodology

Scott F Abramson, University of Rochester

Individual Sensitive Forecasts - Scott F Abramson, University of Rochester; Kirill Kazantcev, University of Rochester

Supervised Sequence Analysis (SSA) for High Dimensional Discovery of Predictive Histories for Health and Economic Outcomes - Adeline Lo, University of Wisconsin–Madison; Héctor Pifarré i Arolas, University of Wisconsin–Madison; Keith Levin, University of Wisconsin–Madison

Post-linkage (Weighted) Regression Analysis - Ted Enamorado, Washington University in St Louis; Martin Slawski, University of Virginia; Priyanjali Bukke, University of Virginia

A Statistical Framework for Evaluating the Reliability of Causal Machine Learning - Melody Huang, Yale University; Tiffany Tang, University of Notre Dame; Ana Maria Kenney, University of California, Irvine

Adeline Lo, University of Wisconsin–Madison

Ted Enamorado, Washington University in St Louis