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Keyword Search Criteria: hierarchical returned 141 record(s)
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Sunday, 07/29/2018
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Bayesian Nonparametric Hierarchical Models for Lightcurve Classification and Observation Decisions
David Edward Jones, Duke University and SAMSI; Sujit Ghosh, North Carolina State Univ.; Ana-Maria Staicu, NC State University; Ashish Mahabal, Caltech
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A Model-Based Clustering to Identify Disease-Associated SNPs
Li Xing, University of Victoria; Xuekui Zhang, University of Victoria; Yan Xu, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
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MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
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Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
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A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
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Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
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A Hierarchical Bayesian Deconvolution Model for Inferring Immune Cell Components in Tumor
An-Shun Tai, National Tsing Hua University
2:15 PM
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MHi-C: Robust Leveraging of Multi-Mapping Reads in Hi-C Analysis
Ye Zheng, University of Wisconsin Madison; Ferhat Ay, La Jolla Institute for Allergy and Immunology; Sunduz Keles, University of Wisconsin, Madison
2:40 PM
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Hierarchical Significance Testing for Gaussian Mixture Clustering
Purvasha Chakravarti, Carnegie Mellon University; Larry Wasserman, Carnegie Mellon University; Sivaraman Balakrishnan, Carnegie Mellon University
3:05 PM
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Statistical Learning on Next-Generation Sequencing of T Cell Repertoire Data
Li Zhang, UCSF School of Medicine, UCSF; Tao He, San Francisco State University; Alan Paciorek, University of California, San Franciscornia ; Jason Cham, University of California, San Francisco; David Oh, University of California, San Francisco; Lawrence Fong, University of California, San Francisco
3:10 PM
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A Model-Based Clustering to Identify Disease-Associated SNPs
Yan Xu, University of Victoria; Xuekui Zhang, University of Victoria; Weiliang Qiu, Brigham and Women's Hosptial/Harvard Medical School
3:20 PM
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Statistical Approach for Investigating Change in Mutational Processes During Cancer Growth and Development
Zhi Yang, University of Southern California; Priyatama Pandey, University of Southern California; Darryl Shibata, University of Southern California; Paul Southern Marjoram, University of Southern California; Kimberly Siegmund, University of Southern California
3:30 PM
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Spatio-Temporal Models for Big Multinomial Data Using the Conditional Multivariate Logit-Beta Distribution
Scott H. Holan, University of Missouri/U.S. Census Bureau; Jonathan R Bradley, Florida State University; Christopher K. Wikle, University of Missouri
4:05 PM
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Statistical Inference for Multivariate Stochastic Differential Equations via Data Imputation
Ge Liu, Ohio State University; Peter Craigmile, The Ohio State University; Radu Herbei, The Ohio State University
4:25 PM
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A Bayesian Hierarchical Model for Analyzing Methylated RNA Immunoprecipitation Sequencing Data
Minzhe Zhang, University of Texas Southwestern Medical Center; Qiwei Li, University of Texas Southwestern Medical Center; Yang Xie, University of Texas Southwestern Medical Center
4:35 PM
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Build-Your-Own Dashboards for Metric Choice
Peter Lenk, University of Michigan; Ofer Mintz, University of Sydney; Yakov Bart, Northeastern University; David Reibstein, University of Pennsylvania
4:35 PM
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Bayesian Hierarchical Models and Influenza Modeling
Nehemias Ulloa, Iowa State University; Jarad Niemi, Iowa State University
4:35 PM
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Inference and Optimal Design for Longitudinal Cluster-Randomized Clinical Trials Given a Small Number of Clusters with Application to a Serious Mental Illness Intervention Study
CHAE RYON KANG, University of Pittsburgh; DI ZHANG, University of Pittsburgh
4:50 PM
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Identifying and Utilizing Research Topics in Conference Abstracts
Stas Kolenikov, Abt Associates; Alison Thaung, Abt Associates
4:55 PM
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Monday, 07/30/2018
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Hierarchical-Block Conditioning Approximations for High-Dimensional Multivariate Normal Probabilities
Jian Cao, King Abdullah University of Science and Technology; Marc G Genton, King Abdullah University of Science and Technology; David E Keyes, King Abdullah University of Science and Technology; George Turkiyyah, King Abdullah University of Science and Technology
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Is Joe Flacco Elite? Hierarchical Models for Player Evaluation in Team Sports
Sam Ventura, Pittsburgh Penguins; Ronald Yurko, Carnegie Mellon University; Maksim Horowitz, Carnegie Mellon University; Andrew C Thomas, Minnesota Wild
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Comparing Behavioral Dynamics Between Groups of Mice Using Hierarchical Hidden Semi Markov Models
Emmeke Aarts, Utrecht University
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A Bayesian Hierarchical Multivariate Poisson-Lognormal Model to Estimate Age- and Cause-Specific Child Mortality in Data-Scarce Countries
Austin Edward Schumacher, University of Washington; Jon Wakefield, Univ of Washington
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Tools for Simulation-Based Uncertainty Quantification in Remote Sensing Inverse Problems
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Ali Behrangi, University of Arizona; Sandy Burden, University of Wollongong; Eric Fetzer, Jet Propulsion Laboratory; Kyo Lee, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
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The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
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Battle Royale: Machine Learning vs. Mechanistically Motivated Spatio-Temporal Models for Atmospheric and Oceanic Processes
Christopher K. Wikle, University of Missouri
8:35 AM
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Lagged Hierarchical Semiparametric Models for Task-Based Dynamic Functional Connectivity (DFC)
Jaroslaw Harezlak, Indiana University Bloomington; Zikai Lin, Indiana University; Maria Kudela, Takeda Pharmaceuticals; Brandon Oberlin, Indiana University School of Medicine; Joaquin Goni, Purdue University; David A Kareken, Indiana University School of Medicine; Mario Dzemidzic, Indiana University School of Medicine
9:15 AM
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Nonresponse Bias Analysis for National Survey on Drug Use and Health Using Small Area Estimation Methodology
Akhil Vaish, RTI International; Matthew Williams, SAMHSA/CBHSQ; Kathy Spagnola, RTI International; Ana Saravia, RTI International; Neeraja Sathe, RTI International
10:05 AM
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Hierarchical Processing for LC/MS Metabolomics Data Generated in Multiple Batches
Douglas Walker, Emory University; Karan Uppal, Emory University; Dean Jones, Emory University; Tianwei Yu, Emory University
10:35 AM
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Tools for Simulation-Based Uncertainty Quantification in Remote Sensing Inverse Problems
Jonathan Hobbs, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory; Ali Behrangi, University of Arizona; Sandy Burden, University of Wollongong; Eric Fetzer, Jet Propulsion Laboratory; Kyo Lee, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory
10:35 AM
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Methods of Monitoring Outcomes of Medical Providers
John Kalbfleisch, University of Michigan; Zhi He, University of Michigan; Lu Xia, University of Michigan; Yanming Li, University of Michigan
10:55 AM
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Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters
Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:15 AM
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Estimating Unmet Need for Contraceptive Methods in the World's Poorest Countries
Leontine Alkema, University of Massachusetts Amherst; Niamh Cahill, University College Dublin; Chuchu Wei, University of Massachusetts Amherst
11:15 AM
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Bayesian Estimation Under Informative Sampling with Unattenuated Dependence
Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, SAMHSA/CBHSQ
11:20 AM
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Probabilities of Causation of Climate Changes
Alexis Hannart, Ouranos
11:25 AM
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Hierarchical Mixture Modeling for Multiple Testing and Effect Size Estimation in Voxel-Level Inference of Neuroimaging Data
Ryo Emoto, Nagoya University Graduate School of Medicine; Atsushi Kawaguchi, Saga University; Hisako Yoshida, Saga University; Shigeyuki Matsui, Nagoya University
11:35 AM
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The Implementation of Moderated T-Tests in Linear Mixed-Effects Models
Lianbo Yu, Ohio State University; Jianying Zhang, Ohio State University; Guy Brock, Ohio State University College of Medicine; Soledad Fernandez, The Ohio State University
12:10 PM
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Beyond the Black Box: Flexible Algorithm Programming for Ecological Models in NIMBLE
Christopher Paciorek, University of California, Berkeley; Colin Lewis-Beck, Iowa State University; Perry de Valpine, UC Berkeley; Daniel B. Turek, Williams College; Lauren Ponisio, UC Riverside; Nick Michaud, UC Berkeley
2:05 PM
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A Bayesian Hierarchical Framework for Pathway Analysis in Genome-Wide Association Studies
Swati Biswas, University of Texas at Dallas; Lei Zhang, University of Texas at Dallas; Pankaj Choudhary, University of Texas at Dallas
2:05 PM
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A Meta-Analysis to Indirectly Compare Experimental Drugs Across Multiple Indications Using a Bayesian Hierarchical Model
Ji Lin, Eli Lilly; Jingyi Liu, Eli Lilly; Zachary Thomas, Eli Lilly; Yumin Zhao, Eli Lilly & Co.; Mythili Koneru, Eli Lilly
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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Hierarchical Computing for Hierarchical Models in Ecology
Mevin Hooten, Colorado State University
2:45 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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A Hierarchical Bayesian Cognitive Diagnostic Factor Model for Learning Trajectories
Albert Man, UIUC; Steven Culpepper, University of Illinois at Urbana-Champaign
2:50 PM
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Modeling Your Way Out of Hierarchical Models in Ecology
Ephraim Hanks, The Pennsylvania State University
3:05 PM
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Bayesian Latent Hierarchical Model for Transcriptomic Meta-Analysis to Detect Biomarkers with Clustered Meta-Patterns of Differential Expression Signals
Zhiguang Huo, University of Florida; Chi Song, Ohio State University; George Tseng, University of Pittsburgh
3:05 PM
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Analysis of Resting-State Functional Brain Connectivity Using a Hierarchical Bayesian Mixture Model
Anders Lundquist, Umea University; Tetiana Gorbach, Umeå University; Xavier de Luna, Umeå University; Lars Nyberg, Umeå University; Alireza Salami, Karolinska Institute
3:05 PM
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Multiethnic Joint Analysis of Marginal SNP Effects
David Conti, University of Southern California; Kan Wang, University of Southern California; Chris Haiman, University of Southern California; Paul Newcombe, MRC Biostatistics Unit
3:05 PM
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Bayesian Applications for Extrapolation from Adult to Pediatric Data
Amy Xia, Amgen
3:05 PM
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Cluster Mean Centering in Hierarchical Linear Models
Noa Molshatzki, University of Southern California; Sandrah P. Eckel, University of Southern California
3:20 PM
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Not All Hierarchical Models Are Created Equal: Interpretation, Model Adequacy and Statistical Computation
Matthew Schofield, University of Otago; Richard Barker, University of Otago
3:25 PM
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Tuesday, 07/31/2018
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Patient- and Site-Level Factors Associated with Abstinence Outcome in a Multisite Clinical Trial of a Technology-Delivered Psychosocial Intervention for Substance Use Disorders
Martina Pavlicova, Columbia University; Leila M. Vaezazizi, New York State Psychiatric Institue; Aimee N. C. Campbell, New York State Psychiatric Institute; Mei-Chen Hu, Columbia University; Edward V. Nunes, New York State Psychiatric Institute
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Interpretable Statistical Machine Learning for Validation and Uncertainty Quantification of Complex Models
Ana Kupresanin, Lawrence Livermore National Laboratory
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Bayesian Hierarchical Models for Voxel-Wise Classification of Prostate Cancer Using Nearest-Neighbor Gaussian Process
Jin Jin, Division of Biostatistics, University of Minnesota; Joseph Koopmeiners, Division of Biostatistics, University of Minnesota; Gregory Metzger, University of Minnesota; Ethan Leng, University of Minnesota
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Bayesian Estimation with Shrinking Both Means and Variances in Heteroscedastic Nested Error Regression Models
Hiromasa Tamae
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Robust estimation in the presence of deviations from linearity in small domain models
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
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A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control
Jiyuan Hu, New York University School of Medicine; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
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A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
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Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
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Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
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Small Area Estimation of HIV Measures in Sub-Saharan Africa
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
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Bayesian Estimation of Pollutant Emissions Using Multiscale Data
Cosmin Safta, Sandia National Laboratories; Ray Bambha, Sandia National Laboratories; Hope Michelsen, Sandia National Laboratories
8:35 AM
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Three-Component Dissection of Tumor Cellular Heterogeneity by a Bayesian Hierarchical Model
Tao Wang, UT Southwestern Medical Center
8:50 AM
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Incorporating Historical Information into the Analysis of Clinical Trials- a Case Study
Guochen Song, Biogen; Yiqing Tian, Q2 Sulotions; John Zhong, Biogen; Stacy Lindborg, Biogen Idec
8:50 AM
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Multi-Resolution Filters for Massive Spatio-Temporal Data
Marcin Jurek, Texas A&M University; Matthias Katzfuss, Texas A&M University
8:55 AM
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A Bayesian Gene-Based GWAS Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior
Yi Yang, University of Minnesota; SAONLI BASU, University of Minnesota; Lisa Mirabello, National Institutes of Health; Logan Spector, University of Minnesota; Lin Zhang, University of Minnesota
9:00 AM
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A Two-Stage Microbial Association Mapping Framework with Advanced FDR Control
Jiyuan Hu, New York University School of Medicine; Huilin Li, New York University; Hyunwook Koh, NYU langone medical center; Linchen He, NYU langone medical center; Martin Blaser, New York University School of Medicine
9:30 AM
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Basket Trials Design and Analysis in Non-Oncology Therapeutical Areas
Binbing Yu, MedImmune/AstraZeneca; Jingjing Chen, Takeda Pharmaceuticals; Dewei She, MedImmune/AstraZeneca; Jianliang Zhang, Medimmune, LLC
9:50 AM
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A Bayesian Approach to the Analysis of Handwritten Evidence
Amy M Crawford, Iowa State University; Nicholas S Berry, Iowa State University; Alicia Carriquiry, Iowa State University
9:55 AM
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2018 National Bald Eagle Dual-Frame Survey Using an Eroding Nest List Frame
Mark Otto, Fish and Wildlife Service
10:05 AM
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A Retrospective Control Study of the Millennium Villages Project
Shira Mitchell, Mathematica Policy Research; Andrew Gelman, Columbia University; Jeffrey Sachs, Columbia University; Avi Feller, UC Berkeley; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health; Alan Zaslavsky, Harvard University Medical School
10:35 AM
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Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors
Mamadou Diallo; Balgobin Nandram, Worcester Polytechnic Institute; J. N. K. Rao, Carleton University
10:35 AM
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Propensity Score Methods for Studies with Hierarchical Data Structure and Continuous Treatments: Application to Childhood Obesity Interventions in Los Angeles County
Justin R Williams, UCLA; Catherine Crespi, University of California, Los Angeles; May Wang, University of California, Los Angeles
10:55 AM
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Traversing the Space-Time Cube
Noel Cressie, University of Wollongong
11:00 AM
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Robust estimation in the presence of deviations from linearity in small domain models
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:10 AM
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Multiple Testing Procedure Consideration in Clinical Trials
Rachael Wen, Sanofi
11:30 AM
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Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
Weijie Su, University of Pennsylvania; Yuancheng Zhu, University of Pennsylvania
11:35 AM
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Bayesian Analysis of Multinomial Counts from Small Areas and Sub-Areas
Balgobin Nandram, Worcester Polytechnic Institute
11:35 AM
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Comparing Direct Survey and Small Area Estimates of Health Care Coverage in New York
Jeniffer Iriondo Perez, RTI International; Rachel Harter, RTI International; Amang Sukasih, RTI International
11:50 AM
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AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Jiaying Lyu, University of Chicago; Fudan University; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
11:55 AM
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Small Area Estimation of HIV Measures in Sub-Saharan Africa
Sahar Zangeneh, Fred Hutchinson Cancer Research Center; Jon Wakefield, Univ of Washington; Ann Duerr, Fred Hutch; Deborah Donnell, Fred Hutch
12:05 PM
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Imputation Approaches for Animal Movement Modeling
Henry Scharf, Colorado State University; Mevin Hooten, Colorado State University; Devin Johnson, Alaska Fisheries Science Center (NOAA)
2:05 PM
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Sensitivity Analysis in Multilevel Models
Nicole Bohme Carnegie, Montana State University; Jennifer L Hill, New York University; Masataka Harada, Fukuoka University; Vincent Dorie, New York University
2:05 PM
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Hierarchical Spatial Model for Creating Global Maps of Plant Trait Distribution
Abhi Datta, Johns Hopkins Bloomberg School of Public Health
2:05 PM
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Hierarchical Bayesian Analysis for Stochastic Frontier Production Function Model
Seongho Song, University of Cincinnati; Younshik Chung, Pusan National University; David Taesok Yi, Xavier University
2:05 PM
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A Max-Infinitely Divisible Process for Sub-Asymptotic Modeling of Spatial Extremes
Gregory Bopp, Pennsylvania State University; Benjamin Shaby, Penn State University; Raphaël Huser, KAUST
2:20 PM
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Multi-Scale Modeling of Animal Movement and General Behavior Data Using Hidden Markov Models with Hierarchical Structures
Vianey Leos Barajas, Iowa State University; Eric Gangloff, Station d'Ecologie Théorique et Expérimentale du CNRS; Timo Adam, Bielefeld University; Roland Langrock, Bielefeld University; Juan Morales, INIBIOMA-CRUB CONICET
2:30 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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A Bayesian Hierarchical Model for Integrated Analysis of Consumer Appeal in Affective Testing
Jing Cao; Janette Pool, PepsiCo
3:05 PM
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Hierarchical Nonlinear Spatio-Temporal Agent-Based Models for Collective Animal Movement
Patrick McDermott, Univeristy of Missouri; Christopher K. Wikle, University of Missouri; Joshua Millspaugh, University of Montana
3:20 PM
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A Bayesian Hierarchical Model Estimating CACE in Meta-Analysis of Randomized Clinical Trials with Noncompliance
Jincheng Zhou, University of Minnesota; Haitao Chu, University of Minnesota Twin Cities; James S. Hodges, University of Minnesota; M. Fareed Khan Suri, University of Minnesota
3:25 PM
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Hierarchical Gaussian Processes for Spatially Dependent Model Selection
James Fry, Virginia Tech; Scotland Leman, Virginia Tech
3:35 PM
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Wednesday, 08/01/2018
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Distance-Weighted Predictor Models to Estimate the Spatial Scale of Built Environment Health Effects
Adam Peterson, University of Michigan; Brisa N. Sanchez, University of Michigan; Emma V Sanchez-Vaznaugh, San Francisco State University
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A Bayesian Latent Variable Approach to Aggregation of Partial and Top Ranked Lists in Genomic Studies
Xue Li, Capital One; Xinlei (Sherry) Wang, Southern Methodist University; Pankaj Choudhary, University of Texas at Dallas; Swati Biswas, University of Texas at Dallas
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A Bayesian Hierarchical Model for Gene Set Enrichment Analysis
Abhay Hukku; Xiaoquan William Wen, University of Michigan; Corbin Quick, University of Michigan
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Bayesian Hierarchical Modeling of Clustered or Longitudinal RNA Sequencing Experiments
Brian Vestal, National Jewish Health; Camille Moore, National Jewish Health; Katerina Kechris, Colorado School of Public Health; Laura Saba, University of Colorado Anschutz Medical Campus; Tasha Fingerlin, National Jewish Health
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A Hierarchical, Multiple-Testing Framework for High-Dimensional Data Analysis and Application to Flow Cytometry
John Pura
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Treatment Effect Estimation in Subgroups: a Comparative Study
Weihua Cao, Novartis Pharmaceutical Corp; Bjoern Holzhauer, Novartis Pharma AG; Steffen Ballerstedt, Novartis Pharma AG; Dong Xi, Novartis Pharmaceuticals; Ieuan Jones, Novartis Pharma AG
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Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu
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Joint Modeling of Multiple RNA-Seq Samples for Accurate Isoform Quantification
Wei Li, University of California, Los Angeles; Jingyi Li, University of California, Los Angeles; Anqi Zhao, Harvard University; Shihua Zhang, Chinese Academy of Sciences
8:35 AM
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Treatment Effect Estimation in Subgroups: a Comparative Study
Weihua Cao, Novartis Pharmaceutical Corp; Bjoern Holzhauer, Novartis Pharma AG; Steffen Ballerstedt, Novartis Pharma AG; Dong Xi, Novartis Pharmaceuticals; Ieuan Jones, Novartis Pharma AG
8:50 AM
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Hierarchical Infinite Latent Factor Models
Elizabeth Lorenzi, Duke University; Ricardo Henao, Duke University; Katherine Heller, Duke University
9:15 AM
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Joint Hierarchical Models for Sparsely Sampled High-Dimensional LiDAR and Forest Variables
Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Sudipto Banerjee, UCLA School of Public Health; Bruce Douglas Cook, NASA Goddard Space Flight Center; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Douglas C Morton, NASA Goddard Space Flight Center
9:35 AM
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A Bayesian Hierarchical Change Point Model with Parameter Constraints
Hong Li, Medical University of South Carolina; Brian Neelon, Medical University of South Carolina
9:35 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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Bayesian Analysis of Unrelated Question Design for Correlated Sensitive Questions from Small Areas
Yuan Yu
10:05 AM
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Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM
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Evaluating the Statistical Properties of Bayesian Basket Trial Designs
Kristen May Cunanan, Memorial Sloan Kettering Cancer Center; Alexia Iasonos, Memorial Sloan Kettering Cancer Center; Ronglai Shen, Memorial Sloan-Kettering Cancer Center; Colin B Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
10:35 AM
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A Bayesian Method for Variable Screening
Somak Dutta, Iowa State University; Vivekananda Roy, Iowa State University
11:20 AM
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Hierarchical Models with Conditionally Conjugate Full-Conditional Distributions for Dependent Data from the Natural Exponential Family
Jonathan R Bradley, Florida State University; Scott H. Holan, University of Missouri/U.S. Census Bureau; Christopher K. Wikle, University of Missouri
11:35 AM
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AAA: Triple-Adaptive Bayesian Designs for the Identification of Optimal Dose Combinations in Dual-Agent Dose-Finding Trials
Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago; Jiaying Lyu, Fudan Universtiy
11:35 AM
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Nonparametric Mixture Modeling on Constrained Spaces
Putu Ayu Sudyanti, Purdue; Vinayak P Rao, Purdue University
11:35 AM
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Combining Probability and Non-Probability Samples: Theory and Practice
Michael Elliott, University of Michigan; Richard Valliant, University of Michigan; Jack Chen, SurveyMonkey
2:05 PM
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The Scientific Context of Astrostatistics: An Overview of the Hierarchical Universe
Gwendolyn Marie Eadie, University of Washington
2:05 PM
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Hospital Profiling for Quality of End-Of-Life Care via Semi-Competing Risks Analysis
Kyu Ha Lee, The Forsyth Institute; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
2:05 PM
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Substate Small Area Estimates Using Data from the 2014-2016 National Surveys on Drug Use and Health (NSDUHs)
Neeraja Sathe, RTI International; Matthew Williams, SAMHSA/CBHSQ; Kathy Spagnola, RTI International; Akhil Vaish, RTI International
2:05 PM
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Bayesian Hierarchical Multi-Population Multistate Jolly¬Seber Models with Covariates: Application to the Pallid Sturgeon Population Assessment Program
Guohui Wu, SAS Institute Inc.; Scott H. Holan, University of Missouri/U.S. Census Bureau
2:05 PM
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Inference on the Future State of the Climate Through Combining Multiple Interdependent Climate Model Outputs with Observations Using Bayesian Hierarchical Models
Huang Huang, SAMSI; Dorit Hammerling, National Center for Atmospheric Research; Bo Li, University of Illinois at Urbana-Champaign; Richard Smith, Statistical Applied Mathematical Sciences Institute
2:20 PM
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Astrophysical Deconvolution When the Convolution Function Is Imprecise
David A van Dyk, Imperial College London
2:25 PM
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A Top-Down Algorithm for Releasing Differentially Private Hierarchical Multi-Dimensional Contingency Tables with Exact Constraints
Robert Ashmead, U.S. Census Bureau; John M Abowd, U.S. Census Bureau; Simson Garfinkel, U.S. Census Bureau; Michael Hay, Colgate University; Dan Kifer, Penn State University ; Philip Leclerc, U.S. Census Bureau; Ashwin Machanavajjhala, Duke University; Ryan McKenna, , University of Massachusetts, Amherst; Gerome Miklau, University of Massachusetts, Amherst; Brett Moran, U.S. Census Bureau; William Sexton, U.S. Census Bureau
2:50 PM
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Hierarchical Bayesian Models for Supernovae and Cosmology
Kaisey Stephen Mandel, University of Cambridge
3:05 PM
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Network Meta-Analysis for N-Of-1 Trials with Ordinal Outcomes
Youdan Wang, Brown University; Christopher Schmid, Brown University
3:05 PM
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Model-Based Crop Yield Forecasting: Adjustment for Within-State Heterogeneity, Covariate Selection and Variance Estimation
Habtamu Benecha, USDA National Agricultural Statistics Service; Nathan Cruze, USDA National Agricultural Statistics Service; Nell Sedransk, National Institute of Statistical Sciences (NISS)
3:20 PM
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Hierarchical Bayes in High Energy Astrophysics
Aneta Siemiginowska, Harvard-Smithsonian Center for Astrophysics
3:25 PM
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Thursday, 08/02/2018
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A Hierarchical Bayesian Markov-Dependent Model for Lifetime Persistence and Recurrence of Major Depressive Episodes
Chenyang Gu, Harvard Medical School; Alan Zaslavsky, Harvard University Medical School; Ronald Kessler, Harvard Medical School
8:35 AM
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Learning Nonconvex Hierarchical Interactions
Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
9:00 AM
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Medication Adherence and Cost Exposure: a Story in Heterogeneity
Rahul Ladhania, Carnegie Mellon University; Amelia M Haviland, Carnegie Mellon University - Heinz College; Neeraj Sood, University of Southern California; Ateev Mehtotra, Harvard Medical School
9:05 AM
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Extended Ensemble Kalman Filters for High-Dimensional Hierarchical State-Space Models
Jonathan Stroud, Georgetown University; Matthias Katzfuss, Texas A&M University; Christopher K. Wikle, University of Missouri
9:15 AM
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Estimating Clusters from Multivariate Binary Data via Hierarchical Bayesian Boolean Matrix Factorization
Zhenke Wu, University of Michigan; Livia Casciola-Rosen, Johns Hopkins University School of Medicine; Antony Rosen, Johns Hopkins University School of Medicine; Scott Zeger, Johns Hopkins Biostatistics
9:20 AM
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Heterogeneous Reciprocal Graphical Models
Yang Ni, UT Austin; Peter Müller, University of Texas Austin; Yitan Zhu, NorthShore University HealthSystem; Yuan Ji, NorthShore Univ. HealthSystem / The University of Chicago
9:25 AM
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Bayesian Bi-Clustering Methods with Applications to Integrative Genomics and Genetics
Jun Liu, Harvard University; Yang Li, Vatic Labs; Jiexing Wu, Google
9:25 AM
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Lasso Estimation of Hierarchical Interactions for Analyzing Heterogeneous Treatment Effect
Yu Du, Johns Hopkins Bloomberg School of Public Health; Ravi Varadhan, Johns Hopkins University
9:50 AM
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Single-Cell ATAC-Seq Signal Extraction and Enhancement
Hongkai Ji, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health
10:35 AM
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Real Data Applications of Learning Curves in Cardiac Devices and Procedures
Usha Govindarajulu, SUNY Downstate School of Public Health; David Goldfarb, Montfiore Medical Center; Frederic Resnic, Lahey Clinic
10:35 AM
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A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
Haitao Chu, University of Minnesota Twin Cities; Qinshu Lian, University of Minnesota; James S. Hodges, University of Minnesota
10:35 AM
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Bayesian Hierarchical Methods for Meta-Analysis Combining Randomized-Controlled and Single-Arm Studies
Jing Zhang, University of Maryland College Park; Chia-Wen Ko, U.S. Food and Drug Administration; Lei Nie, Division of Biometrics V, office of Biostatistics, CDER/FDA; Yong Chen, University of Pennsylvania; Ram Tiwari, Center for Devices and Radiologica Health, FDA
10:55 AM
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Density estimation via hierarchies of nonparametric priors
Igor Pruenster, Bocconi University
10:55 AM
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Multiple Imputation of Non-Ignorable and Hierarchical Missing Data
Angelina Hammon
11:05 AM
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A Bayesian Hierarchical Model for Continental-Scale Prediction of Water Quality in US Lakes
Meridith Bartley, Penn State University; Ephraim Hanks, The Pennsylvania State University
11:05 AM
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Using Hierarchical Models to Estimate Subgroup Effects in a Clinical Trial
Anna McGlothlin, Berry Consultants
11:15 AM
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Characterizing Precipitation Extremes in the US Gulf Coast Through the Use of a Multivariate Spatial Hierarchical Model
Brook Russell, Clemson University; Mark Risser, Lawrence Berkeley National Laboratory; Kenneth Kunkel, North Carolina State University; Richard Smith, Statistical Applied Mathematical Sciences Institute
11:15 AM
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