JSM 2015 Online Program

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Legend: Washington State Convention Center = CC, Sheraton Seattle = S, Grand Hyatt = GH and The Conference Center = TCC
* = applied session       ! = JSM meeting theme

Activity Details

82 Sun, 8/9/2015, 4:00 PM - 5:50 PM CC-616
Methods for Longitudinal Data with Nonstandard Distributions — Contributed Papers
Biometrics Section , Government Statistics Section , International Indian Statistical Association
Chair(s): Jeffrey Dawson, The University of Iowa
4:05 PM Fast Estimation of Regression Parameters in a Broken Stick Model for Longitudinal Data Ritabrata Das, University of Michigan ; Moulinath Banerjee, University of Michigan ; Bin Nan, University of Michigan
4:20 PM Analysis of Paired Data in Randomized Clinical Trials: An Application of Quantile Regression Alok Dwivedi, Texas Tech University Health Sciences Center ; Indika Mallawaarachchi, Texas Tech University Health Sciences Center ; Michael Privitera, University of Cincinnati ; Sheryl Haut, Montefiore Medical Center ; Sada Nand Dwivedi, All India Institute of Medical Sciences ; Rakesh Shukla, University of Cincinnati ; Patrick Tarwater , Texas Tech University Health Sciences Center
4:35 PM Modeling Longitudinal Counts with Excess Zeros: A Hurdle GMM Approach Trent L. Lalonde, University of Northern Colorado
4:50 PM Maximum Pseudo-Likelihood and GEE-Type Inference for Clustered Count Data Based on Zero-Inflated Conway-Maxwell Poisson Distribution with Application to the Iowa Fluoride Study Hyoyoung Choo-Wosoba ; Somnath Datta, University of Louisville
5:05 PM Two New Bivariate Zero-Inflated Generalized Poisson Distributions with a Flexible Correlation Structure CHI Zhang
5:20 PM Neural Spike Trains as Realizations of Skellam Process with Resetting Reza Ramezan, California State University at Fullerton ; Paul Marriott, University of Waterloo ; Chenouri Shojaeddin, University of Waterloo
5:35 PM Analysis of Tree-Valued Data Using Branch Order Regression Kingshuk Roy Choudhury, Duke University ; Sean Skwerer, Yale School of Public Health

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