Contributed Papers

Methods for Data from Multiple Sources: Transfer Learning, Data Fusion, and More

Mon, Aug 4, 10:30 AM - 12:20 PM Room CC-201A Music City Center

Oana EnacheChair

Health Policy Statistics Section

7 Presentations

Bayesian Hierarchical Approach for Handling Non-ignorable Drop-out Across Multiple Clinical Trials in Schizophrenia

10:35 AM - 10:50 AM

Co-authors: Elaona Lemoto (Duke School of Medicine, Department of Biostatistics and Bioinformatics), Elaona Lemoto (Duke School of Medicine, Department of Biostatistics and Bioinformatics), Hwanhee Hong

Item Response Theory Bayesian Statistics Comparative Effectiveness Research Missing Data Mental Health Meta-Analysis

Data fusion causal effect estimation for joint outcomes with missing data and correlated components

10:50 AM - 11:05 AM

Co-authors: Caroline Andy (Weill Cornell Medicine), Catherine Rabin (Weill Cornell Medicine), Caroline Andy (Weill Cornell Medicine), Ali Jalali (Weill Cornell Medicine)

Data fusion Causal inference Health economic evaluation Missing data Incremental cost effectiveness ratio Joint outcomes

Enhancing OMOP Vocabulary Mapping with a Transformer-Based Semantic-Hierarchical Framework

11:05 AM - 11:20 AM

Co-authors: Jiefei Wang (University of Texas Medical Branch), Jiefei Wang (University of Texas Medical Branch), Dian Zhou (University of Illinois Urbana-Champaign), Enshuo Hsu (University of Texas MD Anderson Cancer Center), Jin Zhou (Hunan University)

sentence transformer OMOP Common Data Model semantic similarity hierarchical relationships terminology mapping healthcare data integration

Improving cancer risk prediction for underrepresented groups using transfer learning

11:20 AM - 11:35 AM

Co-authors: Mengyue Liu (Brown University), Rebecca Hubbard (Brown University), Mengyue Liu (Brown University)

risk prediction transfer learning machine learning health equity

Methodology for Supervised Optimization of the Construction of Physician Shared-Patient Networks

11:35 AM - 11:50 AM

Co-authors: James O'Malley (Dartmouth University, Geisel School of Medicine), Yifan Zhao, James O'Malley (Dartmouth University, Geisel School of Medicine), Carly Bobak, Chuanling Qin, Erika Moen (Geisel School of Medicine at Dartmouth), Daniel Rockmore (Dartmouth College)

Bipartite network Diagnostic accuracy Directional information Optimal unipartite projection Physician beliefs Shared-patient physician network

Optimal Policy Learning Under Spatial Dependence With Applications to Groundwater in Wisconsin

11:50 AM - 12:05 PM

Co-authors: Christopher Zahasky (University of Wisconsin- Madison), Xinran Miao, Xindi Lin, Xindi Lin, Hyunseung Kang (University of Wisconsin-Madison)

Transportability Overlap condition Density ratio Poisson regression Inhomogeneous Poisson point process

Using administrative data to complement survey results for a population-based health survey

12:05 PM - 12:20 PM

Co-authors: Urban Landreman (Hennepin County), Urban Landreman (Hennepin County)

Address based sampling Public Health survey methodology local government administrative data health research