Legend: Boston Convention & Exhibition Center = CC, Westin Boston Waterfront = W, Seaport Boston Hotel = S
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.
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
|
|
Tweet | ||
| 629 * ! | Thu, 8/7/2014, 10:30 AM - 12:20 PM | CC-157A | |
| New Development in the Propensity Score Methods: Addressing the Pressing Practical Issues — Invited Papers | |||
| Health Policy Statistics Section , Statistics Without Borders | |||
| Organizer(s): Yi Huang, University of Maryland Baltimore County | |||
| Chair(s): Jing Cheng, University of California, San Francisco | |||
| 10:35 AM | Bayesian Latent Propensity Score Approach for Average Causal Effect Estimation Allowing Covariate Measurement Error — Yi Huang, University of Maryland Baltimore County ; Elande Baro, University of Maryland Baltimore County ; Anindya Roy, University of Maryland Baltimore County | ||
| 11:00 AM | A Weighting Analogue to Pair Matching in Propensity Score Analysis — Liang Li, MD Anderson Cancer Center ; Tom Greene, University of Utah | ||
| 11:25 AM | Covariate Balancing Propensity Score for General Treatment Regimes — Kosuke Imai, Princeton University ; Marc Ratkovic, Princeton University ; Christian Fong, Princeton University | ||
| 11:50 AM | Propensity Score Analysis with Partially Missing Covariates — Bo Lu, Ohio State University ; Robert Ashmead, Ohio State University | ||
| Discussant: Dylan Small, University of Pennsylvania | |||
| 12:15 PM | Floor Discussion | ||
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development 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.
Copyright © American Statistical Association.