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Sunday, 08/01/2010
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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 Logistic Regression of Sparse Data to Predict Influenza
Hector Lemus, San Diego State University
4:35 PM
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Monday, 08/02/2010
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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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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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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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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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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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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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Components and Applications of the Three Phases of Census Capture
Douglas Olson, U.S. Census Bureau
11:35 AM
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