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637 * ! | Thu, 8/13/2015, 8:30 AM - 10:20 AM | CC-609 | |
Statistical Methods for Observational Health Studies — Topic Contributed Papers | |||
Biometrics Section , Health Policy Statistics Section | |||
Organizer(s): Tian Zheng, Columbia University | |||
Chair(s): Shirin Golchi, Columbia University | |||
8:35 AM | Predicting Health Outcomes from High-Dimensional Longitudinal Health Histories Using Relational Random Forests — Zach Shahn, Columbia University ; David Madigan, Columbia University ; Patrick Ryan, Observational Health Data Sciences and Informatics | ||
9:15 AM | Using Bayesian Evidence Synthesis to Estimate Hepatitis C Prevalence Among Adults in New York City — Hui Fen Tan, Cornell University ; Susanna M. Makela, Columbia University ; Daliah Heller, City University of New York School of Public Health ; Kevin Konty ; Sharon Balter, New York City Department of Health and Mental Hygiene ; Tian Zheng, Columbia University ; James H. Stark, Pfizer Inc. | ||
9:35 AM | Interpretable Feature Creation and Model Uncertainty in Observational Medical Data — Rebecca Ferrell, University of Washington ; Tyler McCormick, University of Washington | ||
Discussant: Tian Zheng, Columbia University | |||
10:15 AM | Floor Discussion |
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