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Keyword Search Criteria: hierarchical model returned 56 record(s)
Sunday, 07/30/2017
A Hierarchical Model for Network Data in a Latent Hyperbolic Space
Anna Smith; Catherine Calder, The Ohio State University
3:20 PM

Hierarchical Model for Species Abundance Using Efficient Dimension Reduction for Lattice Data
Ghadeer Mahdi, University of Arkansas; Avishek Chakraborty, University of Arkansas; Mark Arnold, University of Arkansas
5:20 PM

Bayesian Emulators for Composition Distribution of Kepler's Sub-Neptune Planets
Anirban Mondal, Case Western Reserve University; Angie Wolfgang, The Pennsylvania State University
5:35 PM

Monday, 07/31/2017
Using an Onset-Anchored Bayesian Hierarchical Model to Improve Predictions for Amyotrophic Lateral Sclerosis Disease Progression
Alex Karanevich


Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh


Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois


Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago


Identification of Potentially Problematic Prescribing to a Vulnerable Population
Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University


Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
8:40 AM

Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses
Lyndsay Shand; Bo Li, University of Illinois
8:40 AM

Abstract for Dynamic Multi-Resolution Smoothing Using Multi-Source Exchangeability Models
Alexander Kaizer; Joseph Koopmeiners, University of Minnesota; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM

Heterogeneous Reciprocal Graphical Models
Yang Ni; Peter Mueller, UT Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore University HealthSystem/University of Chicago
8:55 AM

Identification of Potentially Problematic Prescribing to a Vulnerable Population
Ryan Jarrett; Richard Epstein, Chapin Hall at the University of Chicago; Michael Cull, Vanderbilt University; David Schlueter, Vanderbilt University; Kathy Gracey, Vanderbilt University; Molly Butler, Vanderbilt University; Rameela Chandrasekhar, Vanderbilt University
9:45 AM

Meta-Analysis of Incidence of Rare Events Using Individual Patient-Level Data
Chen Chen, The George Washington University; Yan Ma, The George Washington University; Yong Ma, FDA/CDER/OTS/OB/DB VII
10:35 AM

A Moment-Based Estimation Procedure for Deeply-Nested Hierarchical Models
Ningshan Zhang, New York University; Patrick Perry, New York University; Kyle Schmaus, Stitch Fix
11:20 AM

An Objective Prior for Hyperparameters in Normal Hierarchical Models
Dongchu Sun, University of Missouri
11:25 AM

Does Environmental Smoking Mediate the Association Between Sleep Quality and Perinatal Depressive Symptoms? a Random Effect Latent Variable Model
Alfred Mbah
12:05 PM

Bayesian Analysis of Hierarchical Mixed Effect Hurdle Model for Time and Spatially Correlated Count Data
Soutik Ghosal, University of Louisville; Maiying Kong, University of Louisville; Jeremy Gaskins, University of Louisville
2:05 PM

Spatio-Temporal Models with Excess Zeros
Mahmoud Torabi, University of Manitoba
2:45 PM

Adaptive Multigroup Confidence Intervals with Constant Coverage
Chaoyu Yu, University of Washington; Peter Hoff, Duke University
3:05 PM

Objective Bayesian Analysis for Gaussian Hierarchical Models with Intrinsic Conditional Autoregressive Priors
Matthew J. Keefe, Virginia Tech; Marco Ferreira, Virginia Tech; Christopher T. Franck, Virginia Tech Department of Statistics
3:20 PM

Tuesday, 08/01/2017
A Bayesian Model for Integrating High-Throughput Multi-Omics Data with Missingness Handling
Zhou Fang, Department of Biostatistics, University of Pittsburgh; Tianzhou Ma, Department of Biostatistics, University of Pittsburgh; Li Zhu, University of Pittsburgh; George Tseng, University of Pittsburgh; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh


Combining Functional Data with Hierarchical Gaussian Process Models
Valerie Poynor, California State University, Fullerton; Stephan Munch, Southwest Fisheries Science Center


Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota


Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa


Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan


Random Effects Models for Meta-Analysis of Causal Effects in Randomized Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota
8:50 AM

A Mixture of Gaussian and Student's T Errors for a Robust and Accurate Parameter Estimation
Hyungsuk Tak, SAMSI; Justin A. Ellis, Jet Propulsion Laboratory; Sujit K Ghosh, North Carolina State University
8:50 AM

Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
9:10 AM

Predicting Travel Time Reliability Using Mobile Phone GPS Data
Dawn Woodard, Uber Technologies, Inc.
9:35 AM

Adaptive Designs in Phase II Basket Clinical Trials
Kristen Cunanan; Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
9:35 AM

Informing Oregon Forestry Rule Change Decisions with a Bayesian Hierarchical Model
Jeremiah Groom, Department of Statistics; Lisa Madsen, Department of Statistics
9:50 AM

The LGM Split Sampler: An Efficient MCMC Sampler for Latent Gaussian Models
Birgir Hrafnkelsson, University of Iceland; Dan Simpson, University of Bath; Oli Pall Geirsson, University of Iceland
9:50 AM

Sparse Network Tomography for Anomaly Detection
Elizabeth Hou, University of Michigan; Yason Yilmaz, University of South Florida; Alfred Hero, University of Michigan
11:20 AM

Statistical Models for Estimating HIV/AIDS Epidemics with Multiple Types of Prevalence Data
Le Bao, Penn State University
2:30 PM

Wednesday, 08/02/2017
Reliability Assessment of Multiple Component Systems Using Bayesian Hierarchical Models
James Gilman, NC State University; Alyson Wilson, North Carolina State University; Kassie Fronczyk, Institute for Defense Analyses


Comparing Quality of Care Across Hospitals: Template Matching Versus Conventional Approaches
Brenda Vincent, VA Center for Clinical Management Research; Hallie Prescott, VA Center for Clinical Management Research


A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University


Analysis of Data from Complex Chemical Experiments: Application of Bayesian Hierarchical Models
Blaza Toman, NIST


Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration
George Tseng, University of Pittsburgh; Li Zhu, University of Pittsburgh
8:35 AM

Estimation in Multisite Randomized Trials with Heterogeneous Treatment Effects
Daniel Schwartz, University of Chicago; Stephen Raudenbush, University of Chicago
9:20 AM

Hierarchical Models for Spatial Data with Errors That Are Correlated with the Latent Process
Jonathan R Bradley, Florida State University; Christopher Wikle, University of Missouri; Scott H. Holan, University of Missouri
9:55 AM

Lagged Kernel Machine Regression for Identifying Time Windows of Susceptibility to Exposures of Complex Metal Mixtures
Shelley Liu, Icahn School of Medicine at Mount Sinai; Jennifer Bobb, Group Health Research Institute; Kyu Ha Lee, The Forsyth Institute; Chris Gennings, Icahn School of Medicine at Mount Sinai; Birgit Claus Henn, Boston University School of Public Health; David Bellinger, Harvard T.H. Chan School of Public Health; Christine Austin, Icahn School of Medicine at Mount Sinai; Lourdes Schnaas, National Institute of Perinatology, Mexico; Martha Tellez-Rojo, National Institute of Public Health, Mexico; Howard Hu, University of Toronto Dalla Lana School of Public Health; Robert Wright, Icahn School of Medicine at Mount Sinai; Manish Arora, Icahn School of Medicine at Mount Sinai; Brent Coull, Harvard T.H. Chan School of Public Health
10:35 AM

Evaluating Safety Performance Measures for Motor Carriers Using Hierarchical Models
Xingwei Wu, University of Washington; Huizhong Guo; Linda Ng Boyle, University of Washington
11:05 AM

Thursday, 08/03/2017
Mortality Rate Estimation and Standardization for Public Reporting: Medicare's Hospital Compare
Edward I. George, Wharton, University of Pennsylvania; Veronika Rockova, University of Chicago; Paul Rosenbaum, University of Pennsylvania; Ville Satopaa, INSEAD; Jeffrey Silber, University of Pennsylvania
8:35 AM

Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 AM

Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM

Bayesian Hierarchical Models to Estimate Associations Between Air Pollution and Cause-Specific Morbidity in Multicity Epidemiologic Studies
Jenna Krall, George Mason University; Stefanie Ebelt Sarnat, Emory University
9:05 AM

Bayesian Estimation Under Dependent Informative Sampling
Terrance Savitsky, U.S. Bureau of Labor Statistics; Matthew Williams, Substance Abuse and Mental Health Services Administration
9:15 AM

Hierarchical Models for Combining N-Of-1 Trials
Youdan Wang
9:35 AM

Statistical Methods for Interrogating Promoter-Enhancer Interactions Originating from Repetitive Regions Using Hi-C Data
Sunduz Keles, University of Wisconsin-Madison; Ye Zheng, University of Wisconsin
9:55 AM

A Three-Groups Bayesian Approach to Identifying Beneficial and Deleterious Genes with Applications to Parkinson's Disease
Daisy Philtron, The Pennsylvania State University; Benjamin A Shaby, Penn State University
10:05 AM

Learning Curve Estimation in Medical Devices and Procedures: Hierarchical Modeling
Usha Govindarajulu, SUNY Downstate; Michael Matheny, Vanderbilt University; David Goldfarb, Montefiore Medical Center; Marco Stillo, SUNY Downstate Medical Center; Frederic Resnic, Lahey Clinic
10:05 AM

Reconciling Curvature and Importance Sampling Based Procedures for Summarizing Case Influence in Bayesian Models
Zachary Micah Thomas, Eli Lilly and Company; Mario Peruggia, The Ohio State University; Steven MacEachern, The Ohio State University
10:35 AM

A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering
Yiyi Liu, Yale University; Hongyu Zhao, Yale University
10:35 AM

Models for Dependent Data in Single Cell Gene Expression
Andrew McDavid, University of Rochester Medical Center - Rochester, NY
10:50 AM

 
 
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