JSM 2013 Home
Online Program Home
My Program

Legend: Palais des congrès de Montréal = CC, Le Westin Montréal = W, Intercontinental Montréal = I
A * preceding a session name means that the session is an applied session.
A ! preceding a session name means that the session reflects the JSM meeting theme.

Activity Details


455 * Wed, 8/7/2013, 8:30 AM - 10:20 AM CC-520a
Bayesian Methods for Causal Inference in Complex Settings — Invited Papers
Section on Bayesian Statistical Science , Section on Statistics in Epidemiology , Korean International Statistical Society
Organizer(s): Michael Daniels, The University of Texas at Austin
Chair(s): Peter Thall, M.D. Anderson Cancer Center
8:35 AM Bayesian Causal Inference for Multiple Mediators — Chanmin Kim, University of Florida ; Michael Daniels, The University of Texas at Austin ; Joe Hogan, Brown University
9:05 AM Informative Priors for Unmeasured Confounding Joe Hogan, Brown University
9:35 AM Causal Inference in Epidemiology Using Bayesian Methods: The Example of Meta-Analysis of Statins and Fracture Risk Lawrence C. McCandless, Simon Fraser University
10:05 AM Floor Discussion



2013 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.