Contributed Papers

Causal Inferences and Robust Estimators

Tue, Aug 5, 8:30 AM - 10:20 AM Room CC-103A Music City Center

Jingyu CuiChair

Section on Statistics in Epidemiology

6 Presentations

Neyman-Orthogonal Changes-in-Changes Estimators for Causal Inference in Panel Data

8:35 AM - 8:50 AM

Co-authors: Jinghao Sun (University of Pennsylvania), Jinghao Sun (University of Pennsylvania), Eric Tchetgen Tchetgen (University of Pennsylvania)

Difference-in-Differences Unmeasured Confounding Semiparametric Theory Policy Evaluation

Accounting for outcome spillover for causal inference with continuous spatiotemporal processes

8:50 AM - 9:05 AM

Co-authors: Conor Kresin (UCLA), Duncan Clark, Duncan Clark, Martin Hazelton (University of Otago)

Causal Inference Spillover Point Process Hawkes Process Epidemics Interference

Semiparametric Sieve Estimation for Survival Data with Two-layer Censoring

9:05 AM - 9:20 AM

Co-authors: Yudong Wang (University of Pennsylvania, Perelman School of Medicine), Yudong Wang (University of Pennsylvania, Perelman School of Medicine), Jie Hu (University of Pennsylvania), Tingyin Wang, Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Phase-type distribution Reporting delay Sieve estimator

WITHDRAWN Double Robust Variance Estimation with Parametric Working Models

9:20 AM - 9:35 AM

Co-authors: Bonnie Shook-Sa (UNC Chapel Hill), Paul Zivich, Chanhwa Lee, Keyi Xue (University of North Carolina at Chapel Hill), Rachael Ross (Department of Epidemiology, Mailman School of Public Health, Columbia University), Jessie Edwards (University of North Carolina-Chapel Hill), Jeffrey Stringer (Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill), Stephen Cole (University of North Carolina)

augmented inverse probability weighting causal inference double robustness empirical sandwich variance M-estimation

Dual Role for Negative Control Outcomes: Improving Validity and Efficiency in Observational Studies

9:35 AM - 9:50 AM

Co-authors: Yiwen Lu, Huiyuan Wang (University of Pennsylvania), Yiwen Lu, Dazheng Zhang, Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Efficiency Gain GLP-1 receptor agonists Negative Control Outcomes Observational Studies

Robust and efficient estimation of marginal structural models dependent on partial treatment history

9:50 AM - 10:05 AM

Co-authors: Nodoka Seya (Tokyo Medical University), Nodoka Seya (Tokyo Medical University), Masataka Taguri (Tokyo Medical University), Takeo Ishii (Yokohama City University)

Closed testing procedure History-restricted marginal structural models Model selection/ Variable selection Inverse probability weighting Time-varying confounding Time-varying treatment