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Keyword Search Criteria: regression model returned 49 record(s)
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Monday, 07/30/2018
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A "divide and Conquer" Approach to Estimating Optimal Penalty Parameter in Functional Tikhonov-Regularized Regression Model via Leave-One-Out Cross-Validation
Yichuan Wang, UC Davis; Wolfgang Polonik, University of California, Davis; Alexander Aue, University of California, Davis
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Different Methods and Comparisons Dealing with Censored Count Data
Xiao Yu, University of Texas Health Science Center at Houson; Lung-Chang Chien, University of Nevada, Las Vegas; Kai Zhang, University of Texas Health Science Center at Houson
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A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
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Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
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Nonparametric Regression Models of Multilevel, Heterogeneous Treatment Effects: The National Study of Learning Mindsets
Carlos Carvalho, University of Texas; Jared S Murray, University of Texas at Austin; Paul Richard Hahn, Arizona State University ; David Yeager, The University of Texas at Austin; Elizabeth Tipton, Columbia University
9:00 AM
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Comparison of Empirical Size and Power of Goodness-of-Fit Tests for Multiple Logistic Regression Model Under Varied Sample Size Conditions
Pengcheng Lu; Jonathan D Mahnken, University of Kansas Medical Center
9:05 AM
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A Didactic Game to Understand Multicollinearity and Its Consequences in a Linear Regression Model
Luis Quiros Gomez, School of Statistics, University of Costa Rica; María José Solís Quirós, School of Statistics, University of Costa Rica; Noelia Rojas Ramírez, School of Statistics, University of Costa Rica
9:20 AM
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Exponentiated Weibull-Geometric Regression Model
Felix Famoye, Central Michigan University
9:35 AM
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Horizontal and Vertical Effects in a Logistic Regression Model
Diana Gonzalez, Arizona State University
10:50 AM
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Ensemble Estimation and Variable Selection with Semiparametric Regression Models
Sunyoung Shin, University of Texas at Dallas; Yufeng Liu, University of North Carolina at Chapel Hill; Stephen Cole, University of North Carolina at Chapel Hill; Jason P Fine, University of North Carolina at Chapel Hill
11:55 AM
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A Regression Model of Cumulative Incidence for Competing Risks Data with Time-Dependent Exposures
Xingyuan Li, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh
12:05 PM
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Mean-Parametrized Conway-Maxwell-Poisson Regression Models for Dispersed Counts
Ho Ting Fung, Macquarie University; Alan Huang, University of Queensland; Aya Alwan, Macquarie University; Justin Wishart, Macquarie University
12:05 PM
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Complexity in Simple Regression Models with Binary Disease Outcome
Mei-Cheng Wang, Johns Hopkins University
2:05 PM
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Extension of Bayesian Logistic Regression Model (BLRM) for Dose Timing Selection in Oncology Phase I Combination Studies
Yiyun Zhang, Novartis; Nigel Yateman, Novartis; Fang Xiang, Novartis; Lan Yi, Novartis; Kapildeb Sen, Novartis; Beat Neuenschwander, Novartis
2:05 PM
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A Bayesian Multilevel Dirichlet Regression Model for Adolescent Activity Pattern Data
Kori Khan, Ohio State; Catherine Calder, The Ohio State University; Anna Smith, Columbia University; Christopher Browning, The Ohio State University
2:35 PM
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Greedy Active Learning Algorithm for Logistic Regression Models
Ray-Bing Chen, National Cheng Kung University, Taiwan; Hsiang-Ling Hsu, National University of Kaohsiung; Yuan-Chin Ivan Chang, Academia Sinica
2:35 PM
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Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) Regression Model for Microbiome Compositional Data
Zheng-Zheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
2:50 PM
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Linear Regression Models with Ordered Categorical Covariates
Julia (Kelsall) Crook, Mayo Clinic
3:35 PM
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Tuesday, 07/31/2018
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Analyzing Longitudinal Clustered Count Data with Zero Inflation: Marginal Regression Modeling with Conway-Maxwell-Poisson Distribution
Tong Kang, University of Florida; Somnath Datta, University of Florida; Steven Levy, University of Iowa
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Using Synthetic Data to Incorporate External Information into Regression Model Estimation
Tian Gu, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan; Wenting Cheng, University of Michigan
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Detective-P: Educational Computer Game for Teaching the Concept of P-Value
Maria Jimena Ruiz Rivera, School of Statistics, University of Costa Rica
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Bayesian Estimation with Shrinking Both Means and Variances in Heteroscedastic Nested Error Regression Models
Hiromasa Tamae
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
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Functional Regression Models with Highly Irregular Designs
Justin Petrovich, Pennsylvania State University; Matthew Reimherr, Pennsylvania State University; Carrie Daymont, Penn State Hershey Medical Center
9:20 AM
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Robust Depth-Based Estimation of the Functional Autoregressive Model
Israel Martinez Hernandez, KAUST; Marc G Genton, King Abdullah University of Science and Technology; Graciela Gonzalez Farias, CIMAT
9:50 AM
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Recursive Non-Parametric Predictive for a Discrete Regression Model
Lorenzo Cappello; Stephen Walker
9:55 AM
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Distance-Based Analysis with Quantile Regression Models
Shaoyu Li, University of North Carolina Charlotte; Yanqing Sun, University of North Carolina At Charlotte
11:20 AM
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A Modified Approach to Component-Wise Gradient Boosting for High-Dimensional Regression Models
Brandon Butcher, University of Iowa; Brian J. Smith, University of Iowa
11:45 AM
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General Regression Model for the Subdistribution of a Competing Risk Under Left-Truncation and Right-Censoring
Anna Bellach, Fred Hutch Cancer Research Center; Michael Kosorok, University of North Carolina at Chapel Hill; Peter Gilbert, Fred Hutchinson Cancer Research Center; Jason P Fine, University of North Carolina at Chapel Hill
2:35 PM
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Interval Estimation for the Slope Difference in a Normal Mixture Regression Model
Shin-Fu Tsai, National Taiwan University
2:35 PM
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Fully Bayesian Analysis of Hierarchical Count Regression Models
Jarad Niemi, Iowa State University; William Landau, Eli Lilly and Company; Dan Nettleton, Iowa State University
2:50 PM
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Wednesday, 08/01/2018
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Estimating Time-to-Event Characteristics via Longitudinal Threshold Regression Models - an Application to Cervical Dilation Progression
Caroline Mulatya, Emmes; Alexander C McLain , University of South Carolina; Bo Cai, University of South Carolina; James Hardin, University of South Carolina; Paul S Albert, National Cancer Institute
8:35 AM
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Cox Regression Model Under Dependent Truncation with Applications to Studies of Neurodegenerative Diseases
Lior Rennert, Clemson University; Sharon X Xie, University of Pennsylvania
8:35 AM
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Concomitant Regression Models for Microbiome Data
Christian Mueller, Flatiron Institute; Aditya Mishra, Flatiron Institute; Patrick Combettes, North Carolina State University
8:55 AM
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Bayesian Regression Models for Big Spatially or Longitudinally Correlated Functional Data
Jeffrey S Morris, The University of Texas M.D. Anderson Cancer Center; Lin Zhang, University of Minnesota; Hongxiao Zhu, Virginia Tech University; Veera Baladandayuthapani, UT MD Anderson Cancer Center; Hojin Yang, The University of Texas M.D. Anderson Cancer Center; Wonyul Lee, Food and Drug Administration; Michelle Miranda, The University of Texas M.D. Anderson Cancer Center; Philip Rausch, Humboldt University
9:50 AM
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RCRnorm: An Integrated System of Random-Coefficient Hierarchical Regression Models for Normalizing NanoString NCounter Data from FFPE Samples
Gaoxiang Jia, Southern Methodist University; Guanghua Xiao, The University of Texas Southwestern Medical Center; Xinlei (Sherry) Wang, Southern Methodist University
9:50 AM
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Approximate Pointwise Tolerance Intervals for Semiparametric Regression Models
Kedai Cheng, University of Kentucky; Derek S. Young, University of Kentucky
10:50 AM
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Finite Sample Inference for Multiply Imputed Synthetic Data Under a Multiple Linear Regression Model
Martin Klein, U.S. Census Bureau
2:20 PM
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Solar Panel Lamination with Extreme Value Regression Model
Chih-Chun Tsai, Tamkang University
2:50 PM
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New Computational Methods for Non/Semiparametric Quantile Regression Models
Bo Kai, College of Charleston; Mian Huang, Shanghai University of Finance and Economics; Weixin Yao, University of California, Riverside; Yuexiao Dong, Temple University
3:20 PM
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Thursday, 08/02/2018
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A Bayesian Semiparametric Regression Model for Joint Analysis of Microbiome Data
Juhee Lee, UC Santa Cruz; Marilou Sison-Mangus, Unversity of California, Santa Cruz
8:55 AM
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A Spatial Group Sparse Multi-Task Regression Model for Imaging Genetics
Farouk Nathoo; Yin Song, University of Victoria; Shufei Ge, Simon Fraser University; Liangliang Wang, Simon Fraser University; Jiguo Cao, Simon Fraser University
8:55 AM
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A Flexible Zero-Inflated Regression Model
Eric Roemmele; Derek S. Young, University of Kentucky
9:20 AM
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Variables and Interactions Generation for Logistic Regression Model via TreeNet and Association Rules
Pannapa Changpetch
10:35 AM
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Bayesian Logistic Regression Model for Sub-Areas
Lu Chen, Worcester Polytechnic Institute; Balgobin Nandram, Worcester Polytechnic Institute
10:50 AM
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Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM
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