Workshops
Monday, January 6, 2025
8:00 a.m. – 10:00 a.m.
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WK01: Communications Workshop |
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WK02: Record Linkage Workshop
Instructor(s): Dean Resnick, NORC at The University of Chicago
WK03: The Analysis of Heterogeneous Treatment Effects
Instructor(s): Nicholas Henderson and Ravi Varadhan, Johns Hopkins University
Monday, January 6, 2025
10:15 a.m. – 12:15 p.m.
WK04: Charting Your Course: A Guide to Analytic Approaches for Health Policy Evaluations
Instructor(s): Beth Ann Griffin, RAND Corporation; Megan Schuler, RAND Corporation; and Elizabeth Stone, Rutgers University
WK05: Submitting an NIA Clinical Trial: Using the NIH Stage Model to Develop Behavioral Interventions to Promote Healthy Aging
Instructor(s): Theresa Kim, National Institute on Aging, and Melissa Riddle, National Institute on Aging
WK06: Visible on the Form, Invisible in the Data: Rethinking Social Identity Data Collection for Equity
Instructor(s): Heather Krause, Datassist
Monday, January 6, 2025
1:30 p.m. – 3:30 p.m.
WK07: Statistical Methods for Harnessing Electronic Health Record Data in Scientific Research
Instructor(s): Jennifer Bobb, Kaiser Permanente Washington, and Yates Coley, Kaiser Permanente Washington Health Research Institute
WK08: A Hands-On Introduction to BART, BCF, and Other Bayesian Tree Ensembles for Applied Causal Inference
Instructor(s): Jared Murray and Andrew Herren, The University of Texas at Austin
WK09: Correlated Responses and Feedback Effect with Time-Dependent Covariates
Instructor(s): Jeffrey Wilson, Arizona State University, and Ding-Geng Chen, Arizona State University
WK10: Embedding Qualitative and Quantitative Methods for Policy Evaluation
Instructor(s): Nicholas Seewald, University of Pennsylvania; Eli Ben-Michael; and Beth McGinty
Wednesday January 8, 2025
3:15 p.m. – 5:15 p.m.
WK11 Analysis of Complex Health Survey Data
Instructor(s): Stanislav Kolenikov, NORC at the University of Chicago
WK12 Data-Adaptive Creation of Realistic Policy Interventions for Pollutant Regulation Using Targeted Learning
Instructor(s): David McCoy, UC Berkeley; Alan Hubbard, UC Berkeley; and Mark Van Der Laan, UC Berkeley
WK13 Introduction to Bayesian Nonparametrics for Causal Inference
Instructor(s): Michael Daniels, University of Florida; Jason Roy, Rutgers University; and Antonio Linero, University of Texas at Austin
WK14 Rapid and Comprehensive Power Analysis in R, with a Focus on Planned Error Control for Multiple Outcomes
Instructor(s): Luke Miratrix, Harvard University
For full workshop course descriptions, visit the online ICHPS program.
