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.
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 | ||
| 669 * | Thu, 8/8/2013, 10:30 AM - 12:20 PM | CC-513b | |
| Estimation and Inference Involving Missing Data — Topic Contributed Papers | |||
| Biometrics Section , SSC , Section on Statistics in Epidemiology , Korean International Statistical Society | |||
| Organizer(s): Zonghui Hu, National Institutes of Health | |||
| Chair(s): Zonghui Hu, National Institutes of Health | |||
| 10:35 AM | Fractional Hot Deck Imputation for Robust Parameter Estimation Under Missing at Random — Shu Yang, Iowa State University ; Jae-Kwang Kim, Iowa State University | ||
| 11:15 AM | Multiple Imputation Methods for Multivariate One-Sided Tests with Missing Data — Tao Wang, Eli Lilly and Company ; Lang Wu, The University of British Columbia | ||
| 11:35 AM | Estimating Optimal Treatment Regimes from a Classification Perspective — Baqun Zhang, Northwestern ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University ; Min Zhang, University of Michigan ; Eric Laber, NC State University | ||
| 11:55 AM | Selection of Valid Instruments in Mendelian Randomization — Hyunseung Kang, Wharton School, University of Pennsylvania ; Tony Cai, University of Pennsylvania ; Dylan S Small, University of Pennsylvania | ||
| 12:15 PM | 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.
Copyright © American Statistical Association.