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This is the preliminary program for the 2007 Joint Statistical
Meetings in Salt Lake City, Utah.
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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 2007 Program page |
= Applied Session,
= Theme Session,
= Presenter
538
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Thu, 8/2/07, 10:30 AM - 12:20 PM | CC-355 D |
| Regression Approaches to Analyze Discreet Data in Clinical Trials - Contributed - Papers | ||
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Biopharmaceutical Section, Biometrics Section |
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| Chair(s): Christine Clark, ICON Clinical Research | ||
| 10:35 AM |
Application of the Zero-Inflated Negative Binomial Distribution — Arlene Swern, Merck & Co., Inc.; Hongwei Wang, Merck & Co., Inc.; Qian Dong, Merck & Co., Inc.; Eric C. Kleerup, David Geffen School of Medicine at UCLA
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| 10:50 AM |
Evaluation of Risk-Benefit in New Drug Development Using a Global Event Intensity Index — Jingli Song, Eli Lilly and Company; Andreas Sashegyi, Eli Lilly and Company; Steve Zheng, Eli Lilly and Company
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| 11:05 AM |
Regression Models for Multinomial Responses with an Example from PCPT — Kenneth Liu, Merck & Co., Inc.; Alexandra Carides, Merck & Co., Inc.
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| 11:20 AM |
Mixing Negative Binomial Distribution with Completely Monotonic Functions and Their Applications in Modeling Over-Dispersion Data — Xiaodong Wang, sanofi-aventis; Hanxiang Peng, The University of Mississippi; Ji Zhang, sanofi-aventis
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| 11:35 AM |
Maximum Likelihood Estimation of the Difference between Correlated Poisson Cough Counts — Xin Yan, University of Missouri-Kansas City; Thomas Bradstreet, Merck & Co., Inc.
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| 11:50 AM |
Negative Binomial Analysis of Hypoglycemia Rates in Diabetic Patients — Cory Heilmann, Eli Lilly and Company
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| 12:05 PM |
Multivariate Dose-Response Analysis of Ordinal Response Data — Kao-Tai Tsai, Bristol-Myers Squibb Company; Karl Peace, George Southern University
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JSM 2007
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. |