Section on Statistics in Epidemiology 8 - Missing Data & Bias Adjustment

Wed, Aug 5, 2:00 PM - 3:50 PM Room CC-212 Thomas M. Menino Convention & Exhibition Center

Joshua FrenchChair

Section on Statistics in Epidemiology

7 Presentations

Accounting for Missing Data in Modeling Measles Transmission Dynamics in Ghana

2:05 PM - 2:20 PM

Candace Todd (Penn State)

Co-authors: Murali Haran (The Pennsylvania State University), Matthew Ferrari (The Pennsylvania State University)

Time Series Epidemiology Public Health Disease Dynamics Compartmental Model Multiple Imputation

Adapting capture-recapture methods to study food environments in low- and middle-income countries

2:20 PM - 2:35 PM

Nilupa Gunaratna (Purdue University)

Co-authors: Simon Kimenju (Kula Vyema Centre of Food Economics), Susmita Ghosh (Purdue University), Joyce Kamau (Kula Vyema Centre of Food Economics), Evidence Matangi (Purdue University)

capture-recapture mark-recapture diets food environments health Africa

Adaptive Experimental Design Using Shrinkage Estimators

2:35 PM - 2:50 PM

Evan Rosenman

Co-authors: Kristen Hunter

adaptive experimental design online randomized trials Empirical Bayes Neyman allocation

Fusion Learning Approach for Repeated Measures Zero Inflated Count Data

2:50 PM - 3:05 PM

Md Karimuzzaman

Co-authors: Brisa Sanchez (Drexel University)

Spatial distribution Fusion learning Zero inflation Food environment Repeated measures Count data modeling

Log Odds Ratio Estimation for Rare-Event 2x2 Tables: A Bias-Corrected Approach

3:05 PM - 3:20 PM

Guohao Zhu (University of Michigan, Department of Anesthesiology, Back and Pain Center)

Co-authors: Xi Qiao (Huntsman Cancer Institute at the University of Utah), Ruitao Liu (Huntsman Cancer Insititute)

log odds ratio parse 2×2 tables bias correction seudo-count methods

Omitted Variable Bias in Difference-in-Differences Designs

3:20 PM - 3:35 PM

JUEJUE WANG (University of Washington)

Co-authors: Pedro H. C. Sant'Anna (Department of Economics, Emory University, USA), Victor Chernozhukov (MIT), Carlos Cinelli (University of Washington)

Difference-in-differences Omitted variable bias Sensitivity analysis Parallel Trends Unmeasured confounding Causal inference

On leveraging parametric and machine learning-based multiple imputations in clinical risk modeling

3:35 PM - 3:50 PM

Yu-Ru Su (Kaiser Permanente Washington Health Research Institute)

Co-authors: Cynthia Wu (University of Washington), Rebecca Hubbard (Brown University), Yates Coley (Kaiser Permanente Washington Health Research Institute)

Risk prediction modeling Missing data Electronic health records Translational implementation Breast cancer prevention