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Cyberseminar Series	HERC Econometrics with Observational Data
Session Title	Propensity Scores Understanding causation with observational data is often more dependent on what we don’t observe than what we do observe. Multivariate techniques can be very useful for understanding observed characteristics. Propensity scores have emerged over the past 20 as another way to control for observables. We describe the concepts behind propensity scores and how they have been used (and misused) in practice. Finally, we work through an example using propensity scores.
Date	10/23/2013
Time	2:00pm-3:00pm ET

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About the presenter

Todd Wagner, PhD

Director of the Health Economics Resource Center, a Research Career Scientist, and a Core Investigator, Center for Innovation to Implementation, Palo Alto VA

Presenting: Propensity Scores

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