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Activity Details

395 * Tue, 8/1/2017, 2:00 PM - 3:50 PM CC-342
Recent Advances in Zero-Inflated Regression Models — Topic Contributed Papers
Biometrics Section
Organizer(s): Himel Mallick, Harvard University
Chair(s): Shrabanti Chowdhury, Wayne State University
2:05 PM Introducing a Flexible Zero-Inflated Count Model to Address Data Dispersion Kimberly F Sellers, Georgetown University ; Andrew Raim, U.S. Census Bureau
2:25 PM T-Geometric Regression Models with Applications to Zero-Inflated Count Data Carl Lee, Central Michigan Univ ; Felix Famoye, Central Michigan University ; Alfred Akinsete, Marshall University
2:45 PM A Multicollinearity-Adjusted Adaptive LASSO for Zero-Infated Count Regression Prithish Banerjee, Wayne State University School of Medicine ; Broti Garai, West Virginia University ; Shrabanti Chowdhury, Wayne State University ; Himel Mallick, Harvard University
3:05 PM A Flexible Marginalized Two-Part Model for Semicontinuous Data Valerie Smith, Duke University and Department of Veterans Affairs ; John Preisser, University of North Carolina-Chapel Hill ; Matthew Maciejewski, Duke University and Department of Veterans Affairs
3:25 PM Bayesian Multiple-Inflation Poisson Regression for Infection Data Duchwan Ryu, Northern Illinois University ; Devrim Bilgili, University of North Florida ; Önder Ergönül, Koc ? University, Istanbul, Turkey ; Nader Ebrahimi, Northern Illinois University
3:45 PM Floor Discussion
 
 
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