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Keyword Search Criteria: Bayesian hierarchical model returned 20 record(s)
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


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

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

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


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


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

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

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


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

Thursday, 08/03/2017
Variable Selection in Bayesian Kernel Machine Models and Its Applications
Sounak Chakraborty, University of Missouri, Columbia
8:35 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

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

 
 
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