JSM 2014 Home
Online Program Home
My Program

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.

Activity Details

184 ! Mon, 8/4/2014, 10:30 AM - 12:20 PM CC-252B
Modern Methods in Missing Data Imputation — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Yan Ma, Weill Medical College of Cornell University   
10:35 AM On Optimal Imputation Strategies for Natural Effect Models Probing Mediation Johan Steen, Ghent University ; Tom Loeys, Ghent University ; Beatrijs Moerkerke, Ghent University ; Stijn Vansteelandt, Ghent University
10:50 AM Issues When Using Multilevel Multiple Imputation to Handle Missing Binary Data in Cluster Randomized Trials Jinhui Ma, Children's Hospital of Eastern Ontario ; Monica Taljaard, Ottawa Hospital Research Institute ; Lisa Dolovich, McMaster University ; Janusz Kaczorowski, McMaster University ; Larry Chambers, √Člisabeth Bruy√®re Research Institute ; Lehana Thabane, McMaster University
11:05 AM A Framework for Integrating Multiple Imputation and the Bootstrap Susan Shortreed, Group Health Research Institute ; Russell Steele, McGill University
11:20 AM A Simple Method for Estimating the Odds Ratio with Incomplete Paired Data Stephen Looney, Georgia Regents University ; Kelly M. Miller, Georgia Regents University
11:35 AM Comparative Studies for Cox Hazards Model Based on the Suita Study Michikazu Nakai, National Cerebral and Cardiovascular Center ; Yuhlong Lio, University of South Dakota ; Din Chen, University of Rochester ; Kunihiro Nishimura, National Cerebral and Cardiovascular Center ; Makoto Watanabe, National Cerebral and Cardiovascular Center ; Yoshihiro Miyamoto, National Cerebral and Cardiovascular Center
11:50 AM Increase Chance for Recovery vs. Risk Reduction Lev S. Sverdlov, Redmond Analytics
12:05 PM Analysis of Sequence Data Under Multivariate Trait-Dependent Sampling Ran Tao ; Danyu Lin, University of North Carolina ; Donglin Zeng, University of North Carolina at Chapel Hill

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.

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