2013 Joint Statistical Meetings - Celebrating the International Year of Statistics

JSM 2013 Online Program

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

		Tweet
598 *	Wed, 8/7/2013, 2:00 PM - 3:50 PM	CC-512g
Randomization Schemes and Their Impacts — Contributed Papers
Biopharmaceutical Section
Chair(s): John D. Johnson, Registrat-MAPI
2:05 PM	Particular Challenges of Sequential Analysis in Cluster-Randomized Trials — Abigail Shoben, The Ohio State University
2:20 PM	Hypothesis Testing of Covariate-Adaptive Randomized Clinical Trials Under Generalized Linear Models — Wei Ma, University of Virginia ; Feifang Hu, University of Virginia
2:35 PM	Expanding Brick Tunnel Randomization to Allow for Larger Imbalance in Treatment Totals in Studies with Unequal Allocation — Olga Kuznetsova, Merck & Co., Inc. ; Yevgen Tymofyeyev, Janssen RD of J&J
2:50 PM	Randomization Metrics: Jointly Assessing Predictability and Efficiency Loss in Covariate Adaptive Randomization Designs — Dennis Sweitzer, Medidata Solutions
3:05 PM	Response-Adaptive Randomization in the Presence of Mismeasurement — Xuan Li, University of Minnesota Duluth ; Xikui Wang, University of Manitoba
3:20 PM	Balancing Treatment Allocation and Randomization with Combinatorics — Ruji Yao, Merck ; Norman Ying Yao, Department of Physics, Harvard University
3:35 PM	Simulations on Comparisons Between 4-Factor Model and 3-Factor Model Using Stratified Logrank Test: A Case Study — Shaoyi Li, Celgene

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.