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206 Mon, 8/8/2022, 2:00 PM - 3:50 PM CC-204C
Matching Design and Sensitivity Analysis for Causal Inference — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Larry Han, Harvard T.H. Chan School of Public Health
2:05 PM Design Sensitivity and Its Implications for Weighted Observational Studies
Dan Soriano, University of California, Berkeley; Sam Pimentel, University of California, Berkeley
2:20 PM Causality Testing
Brian Knaeble, Utah Valley University; Braxton Osting, University of Utah; Placede Tshiaba, University of Utah
2:35 PM Robust Inference for Matching Under Rolling Enrollment
Amanda Glazer, University of California, Berkeley; Sam Pimentel, University of California, Berkeley
2:50 PM Robust Designs for Prospective Randomized Trials Surveying Sensitive Topics
Evan T. R. Rosenman, Harvard University; Rina Friedberg, LinkedIn Data Science and Applied Research; Mike Baiocchi, Stanford University
3:05 PM Imposing a Bottleneck Constraint to Improve the Performance of Statistical Matching
Michael Higgins, Kansas State University; Sanjeewani Weerasingha, Kansas State University
3:20 PM Conditional or Unconditional Logistic Regression for Frequency Matched Case Control Design?
Fei Wan, Washington University in St Louis
3:35 PM Floor Discussion