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CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: poisson returned 40 record(s)
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Sunday, 07/31/2016
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A Latent Variable Poisson Model for Assessing Regularity of Circadian Pattern Over Time
Sung Duk Kim, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Paul Albert, Eunice Kennedy Shriver National Institute of Child Health and Human Development
2:50 PM
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Does the Threat of Suspension Curb Dangerous Behavior in Soccer? A Case Study from the Premier League
Douglas VanDerwerken, U.S. Naval Academy; Jacek Rothert, U.S. Naval Academy; Brice Merlin Nguelifack, U.S. Naval Academy
4:35 PM
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Modeling the Frequency and Magnitude of Extreme Events
Piyas Chakraborty, Purdue University; Hao Zhang, Purdue University
4:35 PM
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Introducing the Bivariate Conway-Maxwell-Poisson Distribution
Kimberly Sellers, Georgetown University; Darcy S. Morris, U.S. Census Bureau; Narayanaswamy Balakrishnan, McMaster University
4:45 PM
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Dynamic Multiscale Spatio-Temporal Models for Poisson Data: Spatio-Temporal Dependence Structure
Marco A. R. Ferreira, Virginia Tech; Thais C. O. Fonseca, Universidade Federal do Rio de Janeiro
5:35 PM
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Monday, 08/01/2016
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Risk-Based Monitoring Rules for Binomial and Poisson Outcomes in Clinical Trials with Software Implementation in JMP
Anastasia Dmitrienko; Richard C. Zink, JMP Life Sciences, SAS Institute
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Subgroup Analyses for Count Data Using Bayesian Empirical Meta-Analytical Predictive Priors
Wei-Chen Chen, FDA/CBER; Judy X. Li, FDA; John Scott, FDA
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Statistical Power of Mixed Zero-Inflated Poisson Regression Models with Time-Dependent vs. Time-Independent Covariates
Gadir Alomair; Enayetur Raheem, University of Northern Colorado
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Combining Information from Multiple Marks in a Marked Point Pattern
Philip Dixon, Iowa State University
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On Bivariate Time Series of Counts
Richard A. Davis, Columbia University; Heng Liu, Google; Camilla Mondrup Andreassen, University of Aarhus
8:35 AM
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Spatial Model for Risk Prediction and Subnational Prioritization to Aid Poliovirus Eradication in Pakistan
Laina Mercer, Institute for Disease Modeling; Steve Kroiss, Institute for Disease Modeling; Hil Lyons, Institute for Disease Modeling; Guillaume Chabot-Couture, Institute for Disease Modeling
9:05 AM
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Combining Information from Multiple Marks in a Marked Point Pattern
Philip Dixon, Iowa State University
9:15 AM
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Modeling Micronuclei Count Data Using the Generalized Monotone Incremental Forward Stagewise Method: Application in Women with Breast Cancer
Rebecca Lehman, Virginia Commonwealth University; Colleen Jackson-Cook, Virginia Commonwealth University; Kellie J. Archer, Virginia Commonwealth University
9:20 AM
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Some New Ways of Modeling Integer Count Time Series
Robert Lund, Clemson University
9:25 AM
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Generalized Linear Mixed Model to Predict a Spatially Correlated Poisson Variable in the Presence of an Auxiliary Variable, with an Application to the West Nile Virus
Lynette Smith, University of Nebraska Medical Center; David B. Marx, University of Nebraska - Lincoln
9:35 AM
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High-Dimensional Analysis of Spatial Count Data: A Penalized Estimating Equation Approach
Rejaul Karim, Michigan State University; Tapabrata Maiti, Michigan State University
10:05 AM
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Bayesian Variable Selection for Multivariate Count Data with Excess Zeros: Application to the Pediatric HIV/AIDS Cohort Study
Kyu Ha Lee, The Forsyth Institute; Brent Coull, Harvard T.H. Chan School of Public Health; Jacqueline R. Starr, The Forsyth Institute
10:35 AM
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Modeling Multiple Primary Cancers Over Time Using a Novel Familywise Likelihood Under the Nonhomogeneous Poisson Process
Jialu Li, MD Anderson Cancer Center; Seung Jun Shin, Korea University; Wenyi Wang, MD Anderson Cancer Center
2:05 PM
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Inference on High-Dimensional Sparse Poisson Means
Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute; David Dunson, Duke University
2:45 PM
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Tuesday, 08/02/2016
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Seasonal Statistical Analysis of Valley Fever in Kern County, California
Bilin Zeng, California State University at Bakersfield; Jessica Struck, California State University at Bakersfield; Samantha Alaniz, California State University at Bakersfield; Alondra Valenzuela, California State University at Bakersfield; Carlos Romero, California State University at Bakersfield
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An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
Madeline Drevets, Baylor University
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Bayesian Implementation of Integrated Population Models
Robert Richardson, Brigham Young University
9:05 AM
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Truncated Completely Random Measures
Trevor Campbell, MIT; Jonathan Huggins, MIT; Tamara Broderick, MIT; Jonathan How, MIT
11:55 AM
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Learning High-Dimensional Discrete Multivariate Auto-Regressive Models
Garvesh Raskutti, University of Wisconsin - Madison
2:05 PM
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Urban Heat Risk Mapping of Houston, Texas, Using Multiple Point Patterns
Jacob Mortensen, Brigham Young University; Matthew J. Heaton, Brigham Young University; Olga Wilhelmi, National Center for Atmospheric Research
2:05 PM
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Sparse Motifs: Discovering Structure in Massive Graphs
Zehang Li, University of Washington; Tyler McCormick, University of Washington; Joshua Blumenstock, University of Washington
2:20 PM
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A Two-Dimensional Poisson Autoregression with Application to Association Study of Two Financial Markets
Ke Wang; Haipeng Xing, SUNY Stony Brook
2:35 PM
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Nonparametric Bayesian Learning of Heterogeneous Dynamic Transcription Factor Networks
Xiangyu Luo, The Chinese University of Hong Kong; Yingying Wei, The Chinese University of Hong Kong
3:05 PM
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Estimating Number of Founder Lineages and Infection Duration of Multivariant HIV-1 Transmissions
Tanzy Love, University of Rochester; Sung Yong Park, University of Southern California; Elena E. Giorgi, Los Alamos National Laboratory; Wendy Mack, University of Southern California; Alan S. Perelson, Los Alamos National Laboratory; Ha Youn Lee, University of Southern California
3:05 PM
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Multilevel Bayesian Latent Class Growth Mixture Model for Longitudinal Zero-Inflated Poisson Data
Kejia Wang, University of Southern California; Kiros Berhane, University of Southern California
3:20 PM
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New Perspectives on Sampling Rare Populations
Emanuela Furfaro, University of Milano-Bicocca
3:20 PM
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Wednesday, 08/03/2016
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Spatial Modeling of Highway Crash Risk
Matthew J. Heaton, Brigham Young University
9:00 AM
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Statistical Inference for Chromatin 3D Structure
Shili Lin, The Ohio State University
9:00 AM
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On the Estimation of Poisson Parameter: An Alternative Approach
Tanweer Shapla, Eastern Michigan University; Khairul Islam, Texas A&M University - Kingsville
9:05 AM
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Analysis of Paired Mitochondrial DNA Data Set by Using Bivariate Poisson Models
Pei-Fang Su, National Cheng Kung University; Yan Guo, Vanderbilt University; John D. Boice, National Council on Radiation Protection and Measurements; Yu Shyr, Vanderbilt University
9:20 AM
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Producing Labor Statistics by Detailed Geography and Occupation: Experiences from the New Canadian Job Vacancy and Wage Survey
Etienne Rassart, Statistics Canada; Zdenek Patak, Statistics Canada
9:20 AM
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Statistical Issues for Safety Monitoring of Recurrent Adverse Events in Clinical Trials
LiAn Lin, Merck Research Laboratories; Greg Ball, Merck Research Laboratories; William William Wang, Merck Research Laboratories
11:35 AM
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COM-Type Generalization of Negative Hypergeometric Distribution and Its Limiting Cases with Applications
Sudip Roy; Ram C. Tripathi, The University of Texas at San Antonio
2:35 PM
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