Quantitative Research Methods Workshop: “A Bayesian Approach to Estimate Population Impact Fraction with Exposure Measurement Error under the Internal Validation Design”

Event time: 
Wednesday, December 2, 2020 - 10:00am
Location: 
Zoom Session See map
Event description: 

The ISPS Quantitative Research Methods Workshop presents Eric Chen, Statistics and Data Science, Yale University:  “A Bayesian Approach to Estimate Population Impact Fraction with Exposure Measurement Error under the Internal Validation Design.” 

Zoom Session, 12:00 p.m.  Register Here.

The Quantitative Research Methods Workshop features cutting-edge research engaged in developing and employing quantitative methods in the social sciences. The workshop will host prominent and up-and-coming scholars in a variety of disciplines, who will present work on a range of topics including experimental design, causal identification in observational studies, text analysis, and election forensics.  The series is being sponsored by the ISPS Center for the Study of American Politics and The Whitney and Betty MacMillan Center for International and Area Studies at Yale with support from the Edward J. and Dorothy Clarke Kempf Fund.

This virtual workshop is open to the Yale community only. To receive Zoom information, you must subscribe to the Quantitative Research Methods Workshop at the link below:

Faculty Organizers: Peter Aronow, Professor of Political Science; and Josh Kalla, Assistant Professor of Political Science.

Graduate Student Coordinator: Drew Stommes, Department of Political Science.

Cosponsored with the Center for Methods in Implementation and Prevention Science.

Admission: 
Free but register in advance
Open to: 
Yale Community Only