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This is the preliminary program for the 2008 Joint Statistical
Meetings in Denver, Colorado.
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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 2008 Program page |
= Applied Session,
= Theme Session,
= Presenter|
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| 405 | Wed, 8/6/08, 10:30 AM - 12:20 PM | CC-F Lobby |
| Contributed Poster Presentations - Contributed - Poster Presentations | ||
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Biometrics Section, Biopharmaceutical Section, Business and Economics Statistics Section, ENAR, IMS, Section on Nonparametric Statistics, Section on Quality and Productivity, Section on Statistical Computing, Section on Statistical Graphics, Section on Statisticians in Defense and National Security, Section on Statistics and Marketing, Section on Statistics and the Environment, Section on Statistics in Epidemiology, WNAR |
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| Organizer(s): John Castelloe, SAS Institute Inc. | ||
| Chair(s): John Castelloe, SAS Institute Inc. | ||
| Poster Topic: Incomplete data analysis, imputation methods: | ||
| 33: |
An Application of Multiple Partial Imputation to Analysis of Longitudinal Quality-of-Life Data —  Paul Kolm, Christiana Care Health System; Wei Zhang, Christiana Care Health System; John Spertus, Mid American Heart Institute; William Weintraub, Christiana Care Health System
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| 34: |
Imputation of Missing Items for the Scale Variables Using Item Response Theory Models — Jian Zhu, The University of Michigan; Trivellore Raghunathan, The University of Michigan; Raymond Bingham, The University of Michigan
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| 35: |
A Comparison of Multiple and Single Imputation Algorithms for Missing Data in Quadratic Discriminant Function — Page C. Moore, University of Arkansas for Medical Sciences; Songthip Ounpraseuth, University fo Arkansas for Medical Sciences; Dean Young, Baylor University
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| 36: |
Imputation of Nondetects in Environmental Concentration Measurements — John W. Rogers, Westat, Inc.
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| Poster Topic: Linear models, GLMs, parametric methods: | ||
| 37: |
Exact and REML-Based Confidence Intervals for Variance Components Using Non-Normal Distributions — Brent Burch, Northern Arizona University
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| 38: |
Restricted Heteroscedastic IV Estimators: A Simulation with Small Samples — Luis Frank, University of Buenos Aires
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| 40: |
A Single-Step Modified Bonferroni Procedure for Multiple Tests — Michelle A. Roozeboom, Iowa Foundation for Medical Care; Daniel Mundfrom, University of Northern Colorado; Jamis Perrett, Texas A&M University
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| 41: |
Regression Analysis for Line Scale Data in Sensory Science — Lin Xie, Kansas State University; Rui Xiong, Unilever Home & Personal Care
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| 42: |
Model-Building for Mixed-Effects Models with Random Scale Effects — Lei Shu, Purdue University; William Cleveland, Purdue University
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| 43: |
Modeling Generalized Linear Mixed Models in S-PLUS, R, and SAS — Stella Karuri, Insightful Corporation; Tim Hesterberg, Google, Inc.; Chris Fraley, Insightful Corporation
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| 45: |
Comparison of Generalized Linear Models To Evaluate Factors Associated with Metabolic Syndrome — Desta B. Fekedulegn, National Institute for Occupational Safety and Health; Michael E. Andrew, National Institute for Occupational Safety and Health; John M. Violanti, The State University of New York at Buffalo; Tara A. Hartley, National Institute for Occupational Safety and Health; Luenda E. Charles, National Institute for Occupational Safety and Health; Cecil M. Burchfiel, National Institute for Occupational Safety and Health
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| Poster Topic: Longitudinal data, repeated measurements, and meta-analysis: | ||
| 46: |
Joint Distribution of Parametric and Nonparametric Parameters in Longitudinal Factorial Designs — Terri Wooten, University of Arkansas for Medical Sciences; D. Keith Williams, University of Arkansas for Medical Sciences; Zoran Bursac, University of Arkansas for Medical Sciences
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| 47: |
Correlated Binary Data: A Comparison of Analytic Approaches for the Analysis of Patient-Reported Outcomes in Diarrhea-Predominant Irritable Bowel Syndrome — Norman Bohidar, Johnson & Johnson Pharmaceutical R&D, LLC; Mary Ellen Frustaci, Johnson & Johnson Pharmaceutical R&D, LLC; Surya Mohanty, Johnson & Johnson Pharmaceutical R&D, LLC
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| 48: |
GEE Performance in Analyzing Longitudinal Binary Data Collected Over Unequal Time Intervals — Soe Soe Thwin, Boston University Medical Center; David Gagnon, Boston University School of Public Health; Howard Cabral, Boston University School of Public Health; Adrienne Cupples, Boston University School of Public Health
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| 49: |
Capturing Group Membership via Growth Mixture Models: A Simulation Study — Kevin Delucchi, University of California, San Francisco; Alan Bostrom, University of California, San Francisco
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| Poster Topic: Mathematical statistics, distribution theory, robust statistics: | ||
| 50: |
Pseudo Likelihoods for Nonlinear Regression Models — Harshini Fernando, Purdue University North Central
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| 51: |
On Interval Estimations for a Dichotomized Variable Derived from a Continuous Measure — Jessica L. Kim, U.S. Food and Drug Administration; Jean Wang, U.S. Food and Drug Administration
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| 52: |
Shrinkage Drift Parameters Estimation for Multifactors Ornstein-Uhlenbeck Processes — Ejaz S. Ahmed, University of Windsor; Severien Nkurunziza, University of Windsor
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| 53: |
L-Bivariate and Multivariate Association Coefficients — Nan Kong, Educational Testing Services
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| 54: |
Heterogeneous Variance Models and Their Applications in Parameter Designs — Fassil Nebebe, Concordia University
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| Poster Topic: Medical devices: | ||
| 55: |
Residual Analysis for Detecting Mismodeling in fMRI — Ji Meng Loh, Columbia University
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| 57: |
Assay Performance Comparison — Victoria Petrides, Abbott Laboratories; Susan Gawel, Abbott Laboratories; Anthony Orzechowski, Abbott Laboratories; Theresa Garwood, Abbott Laboratories
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| Poster Topic: National security, data confidentiality: | ||
| 59: |
Importance in the Developing Countries of Statistics in Sector Security and Defence Policy — Jhoner L. Perdomo, V, Universidad Central de Venezuela
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JSM 2008
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. |