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Contributed Papers

Advances in Statistical Methods for Analyzing Observational Study Data

Tue, Aug 6, 8:30 AM - 10:20 AM

Lianbo YuChair

Biometrics Section

7 Presentations

A class of nonparametric methods to assess the effect of continuous treatments on survival outcomes

8:35 AM - 8:50 AM

Yutong Jin (Fred Hutchinson Cancer Center)

Co-authors: Aaron Hudson (Fred Hutchinson Cancer Center)

Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials

8:50 AM - 9:05 AM

Luke Benz (Harvard University, Department of Biostatistics)

Co-authors: Sebastien Haneuse (Harvard T.H. Chan School of Public Health), Rajarshi Mukherjee

Assessing COVID-19 Vaccine Effectiveness in Observational Studies Via Nested Trial Emulation

9:05 AM - 9:20 AM

Justin DeMonte (UNC Chapel Hill)

Co-authors: Bonnie Shook-Sa (UNC Chapel Hill), Michael Hudgens (University of North Carolina at Chapel Hill)

Combining RCT and observational study data in the presence of unmeasured confounding

9:20 AM - 9:35 AM

Quinn Lanners (Duke University School of Medicine)

Co-authors: Caleb Miles

Communication-efficient Distributed Inference for Mixture Models

9:35 AM - 9:50 AM

Yudong Wang (University of Pennsylvania)

Co-authors: Xiaokang Liu (University of Missouri), Yang Ning (Cornell University), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Estimating Equations-Based Transfer Learning for Correlated Data

9:50 AM - 10:05 AM

Lu Xia (Michigan State University)

Transportability Index and Its Efficient Estimation

10:05 AM - 10:20 AM

Co-authors: Hyunseung Kang (University of Wisconsin-Madison)

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