Welcome Reception & Poster Session I -- ICHPS 2027

Local Balance and Calibration for Nonparametric Propensity Score Estimation

Co-authors: Liang Li (Department of Biostatistics, The University of Texas MD Anderson Cancer Center), Yan Li (Division of Clinical Trials and Biostatistics, Mayo Clinic), Chong Wu (Department of Biostatistics, The University of Texas MD Anderson Cancer Center)

Causal inference Covariate balance Deep neural networks Variance estimation Electronic health records

Assessing causal effects of HIV prevention and treatment package interventions under different definitions of spillover

Francisca Ofori

Co-authors: Ashley Buchanan (University of Rhode Island), Laura Forastiere (Yale University), Natallia of Rhode Katenka (University of Rhode Island), Gavino Puggioni (University of Rhode Island)

causal inference interference spillover effects HIV prevention cluster-randomized trial

AI vs. Human: Data-Driven Prediction Model for Brain Stroke

Grace Sohn

Co-authors: Wanchunzi Yu (Bridgewater State University)

stroke data analysis AI

Analysis of COVID-19 cases and comorbidities using machine learning algorithms: A case study of the Limpopo Province, South Africa

Charles Gyamfi

Co-authors: Alexander Boateng (University of the Free State, South Africa), Daniel Maposa (University of Limpopo, South Africa), Reshoketswe Mokobane (University of Limpopo, South Africa), Timotheus Darikwa (University of Limpopo, South Africa)

Comorbidities Supervised machine learning algorithms Random forest Logistic regression COVID-19 Limpopo province South Africa

Trust, Comfort and Limits of Acceptance: How North and South Carolina Residents View Artificial Intelligence (AI) in Healthcare

Rian Patel

Co-authors: Jose Sanqui (Appalachian State University)

Artificial Intelligence Public perception Healthcare technology Regional survey North Carolina South Carolina AI trust AI trust in Mental Health AI in healthcare

Joint Prediction of Time-to-Terminal-Event and Longitudinal Marker Trajectory for Informed Clinical Decision-Making: A Bivariate Discrete-Time Framework

Stephanie Armbruster (Harvard University)

discrete time partition survival methods longitudinal trajectory autoregression Bayesian estimation joint prediction Hamiltonian Monte Carlo

From Data Collection to Actionable Evidence: AI-Enhanced Approaches in Health Surveys

Saeed Fayyaz (University of Northern Colorado)

Artificial Intelligence Health Surveys Health Policy Digital Health Paradata Data Quality Evidence-Based Decision Making

Using point process models and electronic health records to estimate opioid misuse in North Carolina

Merlie Kirschenbaum

Co-authors: Staci Hepler (Wake Forest University), David Kline (Wake Forest University School of Medicine), Kristin Lenoir (Wake Forest University School of Medicine)

opioid misuse electronic health record log-Gaussian Cox process selection bias

Which variance methods to use in target trial emulation : a simulation study

Sehee Park

Co-authors: Daniel Naiman (Johns Hopkins University), Elizabeth Stuart (Johns Hopkins University, Bloomberg School of Public Health)

target trial emulation variance estimation simulation study

Welcome Reception & Poster Session I

9 Abstracts