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Legend:  = Applied Session,
 = Theme Session,
 = Presenter
Hotels: H = Hilton San Francisco, R = Reniassance Parc Hotel 55, N = Nikko San Francisco
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342
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Wed, 8/6/03, 9:00 AM - 10:50 AM
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R-Atrium
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Regular Contributed Posters - Contributed - Posters
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Section on Survey Research Methods, Business & Economics Statistics
Section, Section on Government Statistics, Social Statistics Section,
General Methodology, Section on Health Policy Statistics |
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Chair(s): Todd Ogden, Columbia University
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Poster Topic: Linear models, GLMs, parametric methods:
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04:
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Permutation Tests for Linear Models in Meta-Analysis: Robustness and Power Under Non-Normality and Variance Heterogeneity —  Kristine Y. Hogarty, University of South Florida; Jeffrey D. Kromrey, University of South Florida
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Poster Topic: Business, economic, and marketing statistics:
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05:
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Towards X-13? — Brian C. Monsell, U.S. Census Bureau; John Aston, NISS/U.S. Census Bureau; S. J. Koopman
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Poster Topic: Government and social statistics:
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06:
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Applied Multiple Regression for Surveys with Regressors of Changing Relevance: Fuel Switching by Electric Power Producers — James R. Knaub, Energy Information Administration
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07:
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Effects of Masked Survey Design Variables on SUDAAN and SURVEYMEANS Variances — Esther
Hing, National Center for Health Statistics; Sarah W. Gousen; Catharine
W. Burt, National Center for Health Statistics; Iris M. Shimizu, Center
for Disease Control and Prevention |
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08:
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Statistical Sensitive Data Protection and Inference Prevention with Decision Tree Methods — Liwu Chang, Naval Research Laboratory
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09:
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Measurement Invariance in Parental Reports of Child Symptomatology: Comparing Parents With and Without Psychopathology — Adam C. Carle, U.S. Census Bureau
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10:
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Using Path Analysis to Develop Treatment Models in Long-Term Care — Daisha Cipher, University of North Texas
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11:
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Development of a Measure of Ingratiatory Behavior in Organizations — Arti Shankar, Tulane University
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Poster Topic: Education, training, consulting:
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12:
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Correlation Corrected for Range Restriction: An Improved Estimate Using Regression — Wai
Chan, Chinese University of Hong Kong; Oi-Man Kwok, Arizona State
University; Chan Ka-Wai, The Chinese University of Hong Kong |
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Poster Topic: Health policy, environment, public health:
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13:
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Likelihood Modeling of Visual Acuity Norms — Angie Mary Wade, Institute of Child Health, London
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14:
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Assessing the Internal Healthy Worker Effect Using Survival Analysis — Jacques Baillargeon, University of Texas; Gwen Baillargeon, University of Texas
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15:
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On a Number of Flawed Sample Size Formulas in the California Hazardous Materials Laboratory User's Manual — Chamont Wei-Hong Wang, College of New Jersey; Wendy Woodring, The College of New Jersey
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16:
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The Real Price of Medical Care and Money Supply Shocks: Time Series Evidence — Clifton M. Loo, Centers for Disease Control and Prevention; Ralph S. Donehoo, Centers for Disease Control and Prevention
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17:
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An Application of Cox Regression Model to Assess Effect of Funding on Death Rate Among Persons Living With HIV — Jim-Yau Wan, University of Tennessee; James E. Bailey, University of Tennessee
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Poster Topic: Sampling, surveys:
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18:
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Precision of Survey Estimates Derived from the Medical Expenditure Panel Survey — William Yu, Agency for Healthcare Research and Quality
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19:
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Strategies for Modeling Two Categorical Variables with Multiple Category Choices — Christopher R. Bilder, Oklahoma State University; Thomas M. Loughin, Kansas State University
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20:
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Estimating the Variance of Percentiles Using Replicate Weights — John W. Rogers, Westat
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21:
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An Evaluation of Modeling the Calling Process for RDD Telephone Surveys — Kristie M. Hannah, ORC Macro International; William H. Robb, Macro International, Inc.
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22:
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Practical Issues in Variance Estimation and Publication Criteria for NHANES Data — Lester R. Curtin, Centers for Disease Control and Prevention
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23:
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Disclosure Review and the 2001 Survey of Consumer Finances — Gerhard Fries, Federal Reserve Board
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24:
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Continuously Collected Survey Data: Implications for Maintaining the Dietary Supplement Database of NHANES — Bernadette Bindewald, NCHS/CDC/DHES/PB
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