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Activity Details
500
Thu, 8/6/2020,
10:00 AM -
2:00 PM
Virtual
Statistical Learning — Contributed Papers
Section on Statistical Learning and Data Science
Chair(s): Linghui Li, AstraZeneca
Effects of Stopping Criterion in the Growth of Trees in Regression Random Forests
Aryana Arsham, National Cancer Institute ; Philip Rosenberg, National Cancer Institute; Mark Peter Little, National Cancer Institute
Using Machine Learning to Improve Propensity Score Matching Methods in Observational Studies
Nan Zhang, Imperial College London ; Daniel J. Graham, Imperial College London
Inference for BART with Multinomial Outcomes
Yizhen Xu, Brown University ; Rami Kantor, Brown University; Ann Mwangi, Moi University; Michael Daniels, University of Florida; Joseph Hogan, Brown University
Privacy-Preserving Distributed Learning from Electronic Health Records Across Multiple Heterogenous Clinical Sites
Jiayi Tong, University of Pennsylvania ; Chongliang Luo, University of Pennsylvania; Rui Duan, University of Pennsylvania; Mackenzie Edmondson, University of Pennsylvania; Christopher Forrest, Children's Hospital of Philadelphia; Yong Chen, University of Pennsylvania
When Black Box Algorithms Are (Not) Appropriate: A Principled Prediction-Problem Ontology
Jordan Rodu, University of Virginia ; Michael Baiocchi, Stanford University
Semi-Supervised Logistic Learning Based on Exponential Tilt Mixture Models
Xinwei Zhang, Rutgers University ; Zhiqiang Tan, Rutgers University
