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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter
224
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Mon, 8/3/09, 2:00 PM - 3:50 PM | CC-144A |
| Repeated Measures and Longitudinal Data Analysis - Contributed - Papers | ||
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Biopharmaceutical Section |
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| Chair(s): Mohamed Alosh, FDA | ||
| 2:05 PM |
The Gradient Function for Checking Goodness-of-Fit of the Random-Effects Distribution in Mixed Models — Geert Verbeke, Katholieke Universiteit Leuven; Geert Molenberghs, Hasselt University/Katholieke Universiteit Leuven
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| 2:20 PM |
Longitudinal Structural Mixed Models and Causal Inference in Surgical Trials with Noncompliance — Colleen Sitlani, University of Washington; Patrick Heagerty, University of Washington
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| 2:35 PM |
Handling Baseline Responses in Repeated Measures Analyses with Data Missing at Random — Phillip Dinh, FDA; Peiling Yang, FDA
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| 2:50 PM |
Weighted Fourier Analysis of Longitudinal Data — Shubing Wang, Merck & Co., Inc.; Christopher Tong, Merck & Co., Inc.
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| 3:05 PM |
Missing Data Imputation for Estimating Time-to-Event from Longitudinal Continuous Data — Lei Xu, Merck & Co., Inc.; Kaifeng Lu, Merck & Co., Inc.; Bret Musser, Merck Research Laboratories; Devan V. Mehrotra, Merck Research Laboratories
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| 3:20 PM |
Spatio-Temporal Modeling of Electrical Muscle Resistance of Patients with Amyotrophic Lateral Sclerosis Using Generalized Additive Mixed Model — Catherine Stamoulis, Harvard Medical School; Seward Rutkove, Harvard Medical School
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| 3:35 PM |
Statistical Models Comparisons for Recurrent Events with Application to Hypoglycemia Data in Diabetes Clinical Trials — Xiaodan Wei, sanofi-aventis; Yujun Wu, sanofi-aventis; Peng-Liang Zhao, sanofi-aventis
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JSM 2009
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. |