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Sunday, 08/01/2010
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A Comparison of Two Versions of the Hosmer-Lemeshow Goodness-of-Fit Test for Logistic Regression
Jana D. Canary, University of Tasmania; Leigh Blizzard, Menzies Research Institute; Ronald Barry, University of Alaska, Fairbanks; Steve John Quinn, Menzies Research Institute; David W. Hosmer, University of Massachusetts, Amherst
2:05 PM
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Outpatient Substance Abuse Treatment Facilities for Women That Provide Child Care: 2008 National Survey of Substance Abuse Treatment Services (N-SSATS)
Sonya Vartivarian, Mathematica Policy Research, Inc.; Cathie E. Alderks, Substance Abuse and Mental Health Services Administration; Jonathan Brown, Mathematica Policy Research, Inc.
2:05 PM
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Analytics in Manufacturing: A Case Study from Aluminum Recycling
J. Michael Hardin, The University of Alabama; Michael D. Conerly, The University of Alabama
2:25 PM
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Alternating Logistic Regressions for Cluster Trials with Binary Outcomes
John S. Preisser, The University of North Carolina at Chapel Hill; Jamie Perin, The University of North Carolina at Chapel Hill; Beth Reboussin, Wake Forest University School of Medicine
2:35 PM
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A Comparison of Logistic Regression Goodness-of-Fit Statistics When Applied to the Log Link
Steve John Quinn, Menzies Research Institute; Leigh Blizzard, Menzies Research Institute; David W. Hosmer, University of Massachusetts, Amherst
3:35 PM
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Development of the Logistic Regression with Factor Scores (LRFS) Method in Differential Item Functioning (DIF) Detection for Dichotomized Variables
Chengwu Yang, Penn State; Elizabeth Garrett-Mayer, Medical University of South Carolina; Barbara C. Tilley, The University of Texas Health Science Center at Houston; Jeanne A. Teresi, Columbia University Stroud Center; Richard N. Jones, Hebrew Rehabilitation Center for Aged; Rickey E. Carter, Mayo Clinic; Vanessa K. Hinson, Medical University of South Carolina
4:05 PM
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Methods of Finding the Initial Values of Parameters in the Maximum Likelihood Estimating Equations for a Logistic Regression Model and Comparison of Their Final Solutions
Hiya Banerjee, University of California, Riverside; Subir Ghosh, University of California, Riverside
4:20 PM
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Using the Trend Odds Model in Seroepidemiological Studies
Ana W. Capuano, The University of Iowa; Gregory C. Gray, University of Florida; Jeffrey D. Dawson, The University of Iowa; R. William Field, University of Iowa
4:20 PM
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Efforts to Adjust for Confounding by Neighborhood Using Complex Survey Data
Babette Brumback, University of Florida; Amy Dailey, University of Florida; Zhulin He, University of Florida; Lyndia C. Brumback, University of Washington; Melvin Livingston, University of Florida
4:35 PM
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Using Logistic Regression of Sparse Data to Predict Influenza
Hector Lemus, San Diego State University
4:35 PM
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Examining the Bias of the Difference in Coefficients Method for Evaluating Intermediate Endpoints Using Logistic Regression
Miranda Elaine Kroehl, University of Colorado, Denver; Lorraine Ogden, University of Colorado, Denver
5:05 PM
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Monday, 08/02/2010
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Interactive Effects of Alcohol and Tobacco on Head and Neck Cancer: A Visualization Using Bivariate Splines
Jennifer JinJin Clark, The University of North Carolina at Chapel Hill; Andrew Olshan, The University of North Carolina at Chapel Hill; Amy H. Herring, The University of North Carolina at Chapel Hill
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Equivalence of Conditional Logistic Regression and Ordinary Logistic Regression via Infinite Replication of Observations
Zhulin He, University of Florida; Babette Brumback, University of Florida
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Prediction of Pneumococcal Nonvaccination Among Persons Aged >= 65 Years
Fan Zhang, CDC; Wei Yu, CDC; Tiebin Liu, CDC; Peng-Jun Lu, CDC; Faruque Ahmed, CDC
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Using Bayesian Logistic Regression to Estimate the Risk or Prevalence Ratio
Charles E. Rose, Jr., CDC; Andrew Lewis Baughman, CDC
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Logistic Regression with Markov Chains as Covariates with Application in Identifying Lung Cancer Risk Factors
Chung-Han Ho, The University of Texas School of Public Health; Carol J. Etzel, MD Anderson Cancer Center; Wenyaw Chan, The University of Texas School of Public Health; Randa El-Zein, MD Anderson Cancer Center; Alanna C. Morrison, The University of Texas School of Public Health
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Statistical Graphics of Pearson Residuals in Survey Logistic Regression Diagnosis
Stanley S. Weng, National Agricultural Statistics Service
8:35 AM
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Simpson's Paradox: Aggregating and Partitioning Populations in Health Care Disparities of Lung Cancer Patients
Pingfu Fu, Case Western Reserve University; Mark Schluchter, Case Western Reserve University; Rom Leidner, Case Western Reserve University; Balazs Halmos, Columbia University Medical Center
9:05 AM
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A Conditional Bayesian Logistic Regression Model (BLRM) with Overdose Control
Lu-May Chiang, Novartis Pharmaceuticals Corporation; Adarsh Joshi, Eli Lilly and Company; David Ohlssen, Novartis Pharmaceuticals Corporation; Jyotirmoy Dey, Novartis Pharmaceuticals Corporation
9:05 AM
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Logistic Generalized Regression (LGREG) Estimator in Cluster Samples
Timothy Kennel, U.S. Census Bureau
9:20 AM
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Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification
Tyler McCormick, Columbia University; Adrian E. Raftery, University of Washington; David Madigan, Columbia University; Randall Burd, Children's National Medical Center
9:35 AM
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Logistic Model Selection via Association Rules Analysis
Pannapa Changpetch, Penn State; Dennis Lin, Penn State
10:35 AM
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The Analysis of Binary Longitudinal Data with Time-Dependent Covariates
Matthew Guerra, University of Pennsylvania; Justine Shults, University of Pennsylvania; Thomas R. Ten Have, University of Pennsylvania School of Medicine
11:05 AM
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A Bayesian Model for Misclassified Binary Outcomes and Correlated Survival Data, with Applications to Breast Cancer
Min Yi, The University of Texas Health Science Center at Houston; Sheng Luo, The University of Texas School of Public Health; Xuelin Huang, MD Anderson Cancer Center; Kelly K. Hunt, MD Anderson Cancer Center
11:15 AM
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Conditional Logistic Regression with Survey Data
Barry I. Graubard, National Cancer Institute; Edward L. Korn, National Cancer Institute
2:20 PM
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Validation Data-Based Adjustments for Outcome Misclassification in Logistic Regression
Robert H. Lyles, Emory University; Li Tang, Emory University; Hillary M. Superak, Emory University; Caroline C. King, CDC; David Celentano, The Johns Hopkins University; Yungtai Lo, Montefiore Medical Center; Jack Sobel, Wayne State University
2:20 PM
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Tuesday, 08/03/2010
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Fixed vs. Mixed Parameterization in Logistic Regression: Application to Meta-Analysis
Chin-Fang Weng, University of Maryland
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What Will Happen to the Power If Dependent and Independent Variables Are Switched?
Youngju Pak, University of Missouri-Columbia; Wade Justin Davis, University of Missouri-Columbia
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Logistic Regression with Floor and Ceiling Effects
David Rindskopf, CUNY Graduate Center
8:55 AM
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Application of Small-Area Estimation Methods to Emergency Department Data from the National Hospital Ambulatory Medical Care Survey
Vladislav M. Beresovsky, National Center for Health Statistics; Cathy Burt, National Center for Health Statistics; Van Parsons, National Center for Health Statistics; Nathaniel Schenker, National Center for Health Statistics
9:35 AM
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A Bayesian Adaptive Design with Biomarkers for Targeted Therapies
Jens C. Eickhoff, Colorado State University; KyungMann Kim, University of Wisconsin-Madison; Jill M. Kolesar, University of Wisconsin-Madison; Jason R. Gee, Lahey Clinic Medical Center
10:35 AM
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Using Hybrid MCMC for Logistic Regression Model Selection
Robert Feyerharm, Independent Consultant
10:35 AM
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Assessment of Alternative Weighting Methods for the National Health Interview Survey
David Shaw, University of Maryland; Joe Fred Gonzalez, Jr., National Center for Health Statistics; Meena Khare, National Center for Health Statistics
11:50 AM
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The Role of Proxy Genes in Predictive Models: An Application to Early Detection of Prostate Cancer
Jay Magidson, Statistical Innovations Inc.; William Oh, Mount Sinai School of Medicine; Robert Ross, Infinity Pharmaceuticals; Philip Kantoff, Dana-Farber Cancer Institute; Karl Wassmann, Source MDx
2:20 PM
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Logistic Regression Analysis of Disabled Employee Data
Berna Yazici, Anadolu University; Betül Kan, Anadolu University; Yener Sisman, Anadolu University; Fatma Kocabas, Anadolu University
3:20 PM
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Wednesday, 08/04/2010
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Comparison of Logistic Regression and Support Vector Machine Models to Predict Diabetes
Wei Yu, CDC; Tiebin Liu, CDC; Rodolfo Valdez, CDC; Marta Gwinn, CDC; Nicole Dowling , CDC; Muin J. Khoury, CDC
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Comparison of Estimation Methods for Logistic Regression Models with Multiple Random Effects Between Statistical Packages
Yoonsang Kim, Institute of Health Research and Policy; Young-Ku Choi, Institute of Health Research and Policy; Sherry Emery, Institute of Health Research and Policy
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Bayesian Goodness-of-Fit Test and Semiparametric Generalization with Measurement Data
Angela Schoergendorfer, University of Kentucky; Adam J. Branscum, University of Kentucky; Timothy Edward Hanson, University of Minnesota
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SAS Macro for Multiple Simple Logistic Regression Analyses with Application to Predictors of New Onset Diabetes After Renal Transplant (NODAT)
Brie N. Noble, Mayo Clinic; Amylou C. Dueck, Mayo Clinic; Joseph G. Hentz, Mayo Clinic; Qing Wu, Mayo Clinic; Harini A. Chakkera, Mayo Clinic
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Estimating Direct Effects on a Dichotomous Outcome Using Logistic Structural Direct Effect Models
Stijn Vansteelandt, Ghent University
8:35 AM
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Components and Applications of the Three Phases of Census Capture
Douglas Olson, U.S. Census Bureau
11:35 AM
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Simulation of Incorporating the Variance from Missing Data in Census Coverage Measurement (CCM) Variance Estimates
Richard Griffin, U.S. Census Bureau
11:50 AM
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Case-Control Sampling for Longitudinal Studies
Paul J. Rathouz, The University of Chicago; Jonathan Schildcrout, Vanderbilt University
3:20 PM
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Effect of Age at Transfer on Survival Among Preterm Newborns
Kenneth Pietz, Baylor College of Medicine; Jochen Profit, Texas Children's Hospital; Gould Jeffrey, Stanford University Medical Center
3:20 PM
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