Advances in Bias Reduction for Epidemiological Evidence

Mon, Aug 5, 8:30 AM - 10:20 AM

Jennifer RammonChair

Section on Statistics in Epidemiology

7 Presentations

Bias Reduction in Evidence Generation using Multi-site Real-World Data

8:35 AM - 8:50 AM

Yishan Shen

Co-authors: Huiyuan Wang (University of Pennsylvania), Yuru Zhu (Perelman School of Medicine, University of Pennsylvania), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Controlling the False Discovery Proportion in Observational Studies with Hidden Bias

8:50 AM - 9:05 AM

Mengqi Lin

Co-authors: Colin Fogarty

Handling Selection Bias in Multi-Source Electronic Health Records

9:05 AM - 9:20 AM

Ritoban Kundu

Co-authors: Bhramar Mukherjee (University of Michigan)

Multi-surrogate Assisted Semi-supervised Modeling with Doubly Bias Reduction

9:20 AM - 9:35 AM

Jianmin Chen (University of Pennsylvania, Perelman School of Medicine)

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

Graphical tools for detection and control of selection bias with multiple samples

9:35 AM - 9:50 AM

Patrick Schnell (The Ohio State University)

Co-authors: Eben Kenah (The Ohio State University)

Unifying L_2 sensitivity analyses for regression and weighting estimators

9:50 AM - 10:05 AM

Yaxuan Huang

Co-authors: Melody Huang (Harvard University), Samuel Pimentel (University of California-Berkeley)

Sensitivity analysis for matched observational studies with continuous exposures and binary outcomes

10:05 AM - 10:20 AM

Jeffrey Zhang

Co-authors: Dylan Small (University of Pennsylvania), Siyu Heng (New York University)