Hopkins deCIPHER

Hopkins Causal Inference for Public HEalth Research


This group is comprised of a multi-disciplinary group of students and faculty from Johns Hopkins University, who are interested in the application and development of statistical methods for drawing causal inferences about intervention effects from partially-controlled studies. The group meets is scheduled to meet on select Thursdays from 12-1:30. Please contact Elizabeth Stuart, Dan Scharfstein or Constantine Frangakis if you are interested in presenting or have any questions/comments.


Schedule

Day
Time Room Topic Speaker(s)
Thurs 9/6 12-1:30 E2527

Marginal Causal Modeling with Imputed Estimating Equations

Joe Schafer (Penn State Statistics)
Thurs 9/20 12:15-1:15 W2008 Discussion of Greenland IJE 2006 (and commentary) Juliana Cuervo
Thurs 9/27 12-1:30 E2527 TBA Amelia Haviland (RAND)
Thurs 10/4 12-1:30 E2133 Comparing Inverse Probability Weighting and the Parametric G-formula:
An Application in Cardiovascular Epidemiology
Sarah Taubman (University of
Pennsylvania)
Thurs 10/11 12-1:30 E2133 Identification of Minimal Sets of Covariates for Estimation of a Treatment Effect Ingeborg Waernbaum
Thurs 10/18 12:15-1:15 W2015 Discussion of Greenland IJE 2007 Justin Lessler and Kostas Tsilidis
Thurs 11/15 12:15-1:15 W2015 Discussion of Greenland SIM 2007 Chanelle Howe

Last modified: September 2007