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Keyword Search Criteria: Logistic regression returned 54 record(s)
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Sunday, 07/30/2017
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Comparing Correlated Component Regression with Lasso for Variable Selection in Logistic Regression with High-Dimensional Data
Jay Magidson, Statistical innovations
2:30 PM
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Scalable Bayesian Learning for Sparse Logistic Models
Xichen Huang; Feng Liang, University of Illinois at Urbana Champaign
2:45 PM
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A Mixture of Mixed Logistic Regression Models for Determining Optimal Dynamic Treatment Regimes
Bing Yu; Bruce Craig, Purdue University; Michael Yu Zhu, Purdue University
3:35 PM
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Leveraging Algorithms for Super-Large Sample Logistic Regression
Ping Ma, University of Georgia
4:05 PM
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On Corporate Bankruptcy Prediction
Yan Yu, University of Cincinnati; Aidong Ding, Northeastern University; Shaonan Tian, San Jose State University; Hui Guo, University of Cincinnati
4:05 PM
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A Joint Logistic Regression and Covariate-Adjusted Continuous-Time Markov Chain Model with Application in Predicting 6-Month Outcome After Traumatic Brain Injury
Maria Laura Rubin, Department of Biostatistics, University of Texas Health Science Center at Houston ; Wenyaw Chan, University of Texas Health Science Center at Houston School of Public Health; Jose-Miguel Yamal, University of Texas Health Science Center School of Public Health; Claudia Sue Robertson, Department of Neurosurgery, Baylor College of Medicine
4:20 PM
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Using Bayesian Methods to Rank Cases Based on Response Propensity During Data Collection
James Wagner, University of Michigan
5:05 PM
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Frequency Matched Case-Control Data Analysis: Unconditional or Conditional Logistic Regression?
Chia-Ling Kuo, UCONN Health; Yinghui Duan, UCONN Health
5:05 PM
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Monday, 07/31/2017
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Ordinal Logistic Regression Model for the Masters Golf Tournament
Erik Heiny, Utah Valley University; Cody Frisby, Utah Valley University
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A Geometric Variational Approach to Bayesian Inference
Abhijoy Saha, Department of Statistics, The Ohio State University; Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University
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Model Comparison for Hip Fracture Patients Hospital Readmission Prediction
Qingqing Dai, Oklahoma State University; Zhuqi Miao, Oklahoma State University; lan zhu, oklahoma state university; Scott Shepherd, Oklahoma State University; William Paiva, Oklahoma State University
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AARP 2016 Master Model Building and Validation
Renting Xu, AARP; Jared Weiss, AARP, Inc; Paul Maiste, Lityx,LLC; Jerrod Begora, Lityx,LLC; Roger Marcus, Lityx,LLC
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Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
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Multivariate logistic regression analysis for multiple-infection group testing data
Juexin Lin, University of South Carolina; Dewei Wang, University of South Carolina
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A Geometric Variational Approach to Bayesian Inference
Abhijoy Saha, Department of Statistics, The Ohio State University; Karthik Bharath, University of Nottingham; Sebastian Kurtek, The Ohio State University
9:05 AM
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Varying-Coefficient Models for Dynamic Networks
Jihui Lee, Columbia University; Gen Li, Columbia University; James D. Wilson, University of San Francisco
9:15 AM
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A Regularization Method for Detecting Differential Item Functioning Under the Framework of Generalized Linear Models
Jing Jiang, Boston College; Zhushan Li, Boston College
9:40 AM
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Model Comparison for Hip Fracture Patients Hospital Readmission Prediction
Qingqing Dai, Oklahoma State University; Zhuqi Miao, Oklahoma State University; lan zhu, oklahoma state university; Scott Shepherd, Oklahoma State University; William Paiva, Oklahoma State University
10:55 AM
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Analyzes of Nighttime Seat Belt Usage Based on Gender, Vehicle Type, and Geography
Kwaku Boakye, University of Tennessee, Knoxville; Shashi Nambisan, University of Alabama; Mack Shelley, Iowa State University
11:35 AM
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A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
Lysbeth Floden, University of Arizona; Patrick Anthony O'Connor, University of Arizona; Melanie Bell, University of Arizona
11:40 AM
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AARP 2016 Master Model Building and Validation
Renting Xu, AARP; Jared Weiss, AARP, Inc; Paul Maiste, Lityx,LLC; Jerrod Begora, Lityx,LLC; Roger Marcus, Lityx,LLC
12:05 PM
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Teaching Logistic Regression Using Ordinary Least Squares in Excel
Milo Schield, Augsburg College
12:05 PM
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Maximum Likelihood Versus Alternative Regularized Estimators for Logistic Regression Models
Gabriel Ruiz, Department of Statistics, University of California, Riverside; Subir Ghosh, Department of Statistics, University of California, Riverside
3:20 PM
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Tuesday, 08/01/2017
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Functional Principal Component Logistic Regression Model for Online Arabic Handwriting Recognition
Amani Albaqshi, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
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Sample Design and Weighting for Estimating a Dose-Response Curve
Sharon Lohr, Westat; Pamela Broene, Westat; Eric Jodts, Westat
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Correlating a Right Censored Risk Factor with a Neuropathology Finding
Richard Kryscio, Univ of Kentucky; Qiwen Kang, University of Kentucky; Erin L Abner, University of Kentucky; Peter T Nelson, University of Kentucky; David Fardo, University of Kentucky; Frederick A Schmitt, University of Kentucky
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Longer Telomere Length Is Associated with Hypertension in African American Women: THE MH-GRID STUDY
Ruihua Xu, National Institutes of Health; Sharon Davis, National Human Genome Research Institute; Amadou Gaye, National Human Genome Research Institute; Samson Gebreab, National Human Genome Research Institute; Rumana J. Khan, National Human Genome Research Institute; Pia Riestra, National Human Genome Research Institute; Amadi V. Gibbons, National Human Genome Research Institute; Rakale Quarrels, Morehouse School of Medicine; Gary H. Gibbons, National Human Genome Research Institute
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A Strategy for Evaluating Goodness-of-Fit for a Logistic Regression Model Using the Hosmer-Lemeshow Test on Samples from a Large Data Set
Michael Pennell, Ohio State University; Adam Bartley, Department of Health Sciences Research, Mayo Clinic; Stanley Lemeshow, College of Public Health, The Ohio State University; Gary Phillips, Center for Biostatistics, The Ohio State University
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Best Practices in Predicting Customer Attrition
Adraine Upshaw, BBVA Compass
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Outcomes Following Concomitant Traumatic Brain Injury and Hemorrhagic Shock: a Secondary Analysis of the PROPPR Trial
Savitri N. Appana, The University of Texas Health Science Center at Houston; Erin E Fox, The University of Texas Health Science Center, Center for Translational Injury Research; Sarah Baraniuk, The University of Texas Health Science Center at Houston; Patrick L Bosarge, University of Alabama School of Medicine; Elieen M. Bulger, University of Washington Department of Surgery; Rachael A. Callcut, University of California San Francisco Division of General Surgery; Bryan A. Cotton, The University of Texas Health Science Center at Houston; Michael Goodman, University of Cincinnati School of Medicine; Kenji Inaba, University of Southern California Keck School of Medicine; Terence O'Keeffe, University of Arizona School of Medicine; Martin A. Schreiber, Oregon Health & Science University School of Medicine; Charles E. Wade, The University of Texas Health Science Center, Center for Translational Injury Research; Thomas M. Scalea, University of Maryland School of Medicine; John B. Holcomb, The University of Texas Health Science Center at Houston; Deborah M. Stein, University of Maryland School of Medicine; Samuel M. Galvagno Jr., University of Maryland School of Medicine
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Comparison of Two Effect Ratio Measures for Meeting the Aerobic Physical Activity Guideline Among U.S. Adults with Mobility Disability, BRFSS 2015
Qing Zhang, CDC
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Applying Logistic Regression to Student Data to Determine Retention of Students at a Large University
Reema Thakkar, RTI International; Emily Griffith, NC State University; Stephany Dunstan, N.C. State University
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GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes
Kyle M Irimata, Arizona State University
8:55 AM
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Impact of Instructors and Majors on Student Performance Bayesian Multiple Membership Logistic Regression Model
Maria Elsa Vazquez, Arizona State University
9:35 AM
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Applying Logistic Regression to Student Data to Determine Retention of Students at a Large University
Reema Thakkar, RTI International; Emily Griffith, NC State University; Stephany Dunstan, N.C. State University
11:10 AM
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MIMoSA: Method for Inter-Modal Segmentation Analysis
Alessandra Valcarcel, University of Pennsylvania; Kristin Linn, University of Pennsylvania; Simon Vandekar, University of Pennsylvania; Theodore Satterthwaite, Univ of Pennsylvania; Peter A Calabresi, The Johns Hopkins University; Russell Taki Shionhara, UPenn
11:35 AM
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Parameter Adjustment of Case-Control Analysis to Adjust for Different Pathogenicity of Multiple Exposures
Diana Lam, University of Maryland, Baltimore; William Blackwelder, University of Maryland, Baltimore
11:50 AM
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Design Based Estimates of Model Based Parameters
Eric Morenz, McGill University; Russell Steele, McGill University; Ana Velly, Jewish General Hospital, McGill University
2:50 PM
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Locally D-Optimal Designs for Logistic Regression Models with Factorial Effects
Zhongshen Wang, Arizona State University; John Stufken, Arizona State University
3:05 PM
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Wednesday, 08/02/2017
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Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers
Boxiang Wang; Hui Zou, University of Minnesota
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Magic Cross-Validation with Applications in Kernel Smooth Margin Classifiers
Boxiang Wang; Hui Zou, University of Minnesota
8:40 AM
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Subgroup Identification of Early Preterm Birth (EPTB): Informing a Future Prospective Enrichment Clinical Trial Design
Chuanwu Zhang, University of Kansas Medical Center
9:05 AM
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Evaluation of a New Approach for Estimating the Number of U.S. Farms
Habtamu Benecha, USDA National Agricultural Statistics Service; Denise A Abreu, USDA/NASS; Linda J. Young, USDA National Agricultural Statistics Service
10:35 AM
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Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information
Wenting Cheng, Department of Biostatistics, University of Michigan, Ann Arbor; Jeremy M. G. Taylor, University of Michigan; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
10:55 AM
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Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification
Jia Bao, NYU Langone Medical Center; Yongzhao Shao, New York University-School of Medicine
11:05 AM
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Properties of Logistic Regression Estimates of Team Strengths in Sports
Richard Auer, Loyola University Maryland; Jennifer Roem, Johns Hopkins Bloomberg School of Public Health
11:20 AM
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Validation of Early Functional Change Based Prognostic Groups in Predicting Long Term Depression Outcomes: Findings from COMED Trial
Abu Minhajuddin, University of Texas Southwestern-Medical Center At Dallas; Manish K Jha, University of Texas Southwestern Medical Center; Madhukar Trivedi, University of Texas Southwestern Medical Center
12:05 PM
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Estimating the Impact of Budget Cuts on Operational Readiness Using Logistic Regression
Maryann Shane
2:45 PM
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Variable Selection for the Dynamic Logistic Regression Model
Jordan Bakerman, North Carolina State University; Karl Pazdernik, North Carolina State University; Alyson Wilson, North Carolina State University
3:25 PM
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Thursday, 08/03/2017
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Hurdle Models for Residential Solar Photovoltaic Systems Installations
Janice Lent, U.S. Energy Information Administration
8:35 AM
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Additive Logistic Model with Stochastic Macro-Economic Covariates for Corporate Bankruptcy Prediction
Xiaorui Zhu, University of Cincinnati, Lindner College of Business; Yan Yu, University of Cincinnati; Shaonan Tian, San Jose State University
9:05 AM
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Model Assessment on Longitudinal Binary Data with Time-Dependent Covariates
Tan Li, Florida International University; Katrina INTERNATIONAL Epnere, Florida International University
11:05 AM
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The Adaptive "learn-As-You-Go" Design for Multi-Stage Intervention Studies
Daniel Nevo, Harvard T.H. Chan School of Public Health; Judith Lok, Harvard T H Chan School of Public Health; Donna Spiegelman, Harvard T.H. Chan School of Public Health
11:35 AM
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