Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
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
|
Keyword Search Criteria: cluster returned 134 record(s)
|
|
Sunday, 07/31/2016
|
We Are What We Ask: Mapping the Ecosystem of Software Development Using Stack Overflow Data
David G. Robinson, Stack Overflow
|
Analysis of Matched Data for Noninferiority Trials
Jeremiah Perez, Boston University; Joseph M. Massaro, Boston University
2:05 PM
|
Biclustered Matrix Completion
Eric Chi, North Carolina State University
2:25 PM
|
Information Recovery in Errorfully Labeled Graphs via Graph Matching
Vince Lyzinski, The Johns Hopkins University
2:30 PM
|
Cluster Enrichment Method to Identify Inhibitors of Down-Regulators of Immune Signaling in a Kinetic High-Throughput Screening Assay
Minya Pu, University of California at San Diego; Karen Messer, University of California at San Diego; Howard Cottam, University of California at San Diego; Tomoko Hayashi, University of California at San Diego; Maripat Corr, University of California at San Diego; Dennis Carson, University of California at San Diego
2:35 PM
|
Co-Clustering of Nonsmooth Graphons
David Sungjun Choi, Carnegie Mellon University
3:20 PM
|
Causal Mechanisms and Spillover Effects in Clustered Encouragement Designs
Fabrizia Mealli, University of Florence; Laura Forastiere, University of Florence
3:25 PM
|
Spatially Partitioning Curves Based on Functional Covariates, with Two Applications
Zhen Zhang, The University of Chicago
4:05 PM
|
Small-Sample Methods for Cluster-Robust Variance Estimation and Hypothesis Testing in Fixed Effects Models
James Eric Pustejovsky, The University of Texas at Austin; Elizabeth Tipton, Columbia University
4:20 PM
|
Characterizing and Clustering an Adult Cystic Fibrosis Patient Population
Barbara Ann Bailey, San Diego State University
4:20 PM
|
Bayesian Clustering and Dimension Reduction in Multivariate Extremes
Sabrina Vettori, KAUST; Raphaël Huser, KAUST; Marc Genton, KAUST
5:05 PM
|
Principal Axes Analyses of Distributional Data
Sun Makosso-Kallyth, McMaster University; Brahim Brahim, Big Data Visualizations Inc.
5:20 PM
|
Clustered Random Data-Swapping Method for Statistical Disclosure Limitation
Guangyu Zhang, CDC/NCHS; Joe Fred Gonzalez, CDC/NCHS; Anna Oganian, CDC/NCHS
5:20 PM
|
A Bayesian Approach for Regression Analysis of Complex Survey Data with Missing Values
Trivellore Raghunathan, University of Michigan
5:25 PM
|
Robust Clustering Methods for Time-Evolving Brain Signals
Tianbo Chen, KAUST; Ying Sun, King Abdullah University of Science and Technology; Carolina Euan, CIMAT; Hernando Ombao, University of California at Irvine
5:35 PM
|
|
Monday, 08/01/2016
|
Distributions of Age at Death from Roman Epitaph Inscriptions: An Application of Data Mining
Peter Pflaumer
|
Acceptance Procedure for Process Control Based on Clustering
William Griffith, University of Kentucky; Michelle Smith, Eastern Kentucky University
|
Unsupervised Bump Hunting with Split-and-Recombine
Miriam Elman, Oregon Health & Science University; Jinho Park, Inha University; George Tiao, The University of Chicago; Dongseok Choi, Oregon Health & Science University
|
Time and Cluster Interactions in the Stepped Wedge Trial Design
Christopher M. Keener, University of Pittsburgh; Chung-Chou H. Chang, University of Pittsburgh
|
Cluster-Level Dynamic Treatment Regimens and Sequential, Multiple Assignment, Randomized Trials: Estimation and Sample-Size Considerations
Timothy NeCamp, University of Michigan; Amy Kilbourne, University of Michigan Medical School; Daniel Almirall, University of Michigan Survey Research Center
|
Time-Dependent Clustering Tells a Danger on the Road
Eunice Kim
|
Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
Putu Ayu Sudyanti, Purdue University; Vinayak Rao, Purdue University; Hyonho Chun, Purdue University
|
Inference with Cluster Data Under Informative Sampling
Jae-kwang Kim, Iowa State University; Seunghwan Park, Seoul National University
8:35 AM
|
Time-Dependent Clustering Tells a Danger on the Road
Eunice Kim
8:55 AM
|
Bayesian Analysis for Cluster Sampling
Susanna Makela, Columbia University; Yajuan Si, University of Wisconsin - Madison; Andrew Gelman, Columbia University
9:00 AM
|
A Statistical Algorithm for Phantom Clustering Using PPCA
Wei Q. Deng, University of Toronto; Radu V. Craiu, University of Toronto
9:05 AM
|
Conditional Logistic Regression in a Cluster-Specific M-to-M Treatment-Control Study with Binary Outcomes
Zhulin He, Iowa State University; Gabriel Demuth, Iowa State University; Zhengyuan Zhu, Iowa State University
9:15 AM
|
Residual-Based Trees for Clustered Binary Data
Mousumi Banerjee, University of Michigan; Rong Xia, University of Michigan
9:15 AM
|
H-Likelihood Method for Analyzing Clustered Survey Data
Donghwan Lee, Ewha Womans University; Youngjo Lee, Seoul National University
9:25 AM
|
Collective Nonparametric Spectral Density Estimation with Applications in Clustering
Mehdi Maadooliat, Marquette University; Ying Sun, King Abdullah University of Science and Technology
9:55 AM
|
Manly Transformation in Finite Mixture Modeling
Xuwen Zhu, University of Alabama; Volodymyr Melnykov, University of Alabama
10:35 AM
|
Why Popular Bayesian Nonparametric Methods Fail for Sparse Clustering Tasks
Rebecca Steorts, Duke University; Jeffrey Miller, Duke University; Brenda Betancourt; Abbas Zaidi, Duke University; Hanna Wallach, University of Massachusetts - Amherst/Microsoft Research
10:35 AM
|
Semiparametric Estimates of the Long-Term Background Trend, Periodictiy, and Clustering Effect in Crime Data
Jiancang Zhuang, Institute of Statistical Mathematics; Jorge Mateau, Universitat Jaume I de Castelló
11:20 AM
|
The Design of Cluster-Randomized Trials Using Robust Methods for Right- and Interval-Censored Event Times
Yujie Zhong, Cambridge Institute of Public Health; Richard John Cook, University of Waterloo
11:25 AM
|
Large-Scale Cluster Analysis Using Fusion Penalties
Trambak Banerjee, University of Southern California; Peter Radchenko, University of Southern California; Gourab Mukherjee, University of Southern California
11:35 AM
|
Model-Based Regression Clustering for High-Dimensional Data
Emilie Devijver
11:35 AM
|
Dependent Latent Effects Modeling for Survey Estimation with Application to the Current Employment Statistics Survey
Julie Gershunskaya, Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:40 AM
|
Clustering Mutations and Estimating Contamination Rates via Bayesian Nonparametrics
Putu Ayu Sudyanti, Purdue University; Vinayak Rao, Purdue University; Hyonho Chun, Purdue University
11:55 AM
|
Studying the Importance of Variables for Clustering
Volodymyr Melnykov, University of Alabama; Yana Melnykov, University of Alabama; Xuwen Zhu, University of Alabama
11:55 AM
|
Clusters Beat Trend!? Testing Feature Hierarchy in Statistical Graphics
Susan VanderPlas, Nebraska Public Power District; Heike Hofmann, Iowa State University
2:05 PM
|
A Bayesian GWAS Method Utilizing Haplotype Clusters for a Composite Breed Population
Danielle Wilson-Wells, University of Nebraska - Lincoln; Stephen D. Kachman, University of Nebraska - Lincoln
2:20 PM
|
Mixture Models with Mixed Effects in Their Component Distributions
Geoffrey John McLachlan, University of Queensland
2:30 PM
|
On the Analysis of Case-Control and Stratified Case-Control Studies in Cluster-Correlated Data Settings
Sebastien Haneuse, Harvard T.H. Chan School of Public Health; Claudia Rivera, Harvard T.H. Chan School of Public Health
2:30 PM
|
Analysis of High-Throughput Drug Screening Data of Cancer Cell Lines
Hongmei Liu; J. Sunil Rao, University of Miami
2:50 PM
|
Regression Analysis of Clustered Failure Time Data with Informative Cluster Size Under the Additive Transformation Models
Ling Chen, Washington University in St. Louis; Yanqin Feng, Wuhan University; Jianguo Sun, University of Missouri
3:20 PM
|
Disentangling Bed Nets and Spillover Effects in a Clustered Encouragement Design for Malaria Control: A Bayesian Principal Stratification Approach
Laura Forastiere, University of Florence; Fabrizia Mealli, University of Florence; Tyler J. VanderWeele, Harvard
3:25 PM
|
Applications of Machine Learning in Environmetrics: Detecting Dynamic Trend-Based Clusters
Xin Huang, The University of Texas at Dallas; Iliyan R. Iliev, The University of Texas at Dallas; Lyubchich Vyacheslav, University of Maryland Center for Environmental Science; Alexander Brenning , University of Jena; Yulia R. Gel, The University of Texas at Dallas
3:35 PM
|
|
Tuesday, 08/02/2016
|
Machine Learning Applications for Survey Design, Collection, and Adjustment: Going Beyond the Trees to See Clusters, Forests, and Neighbors
Trent Buskirk, Marketing Systems Group
|
Constrained Canonical Covariance Analysis by Using Tucker2 Model
Jun Tsuchida, Doshisha University; Hiroshi Yadohisa, Doshisha University
|
Application of Data Mining Techniques to Pesticide Risk Assessment
Ayona Chatterjee, California State University at East Bay; Arjun Panda, California State University at East Bay; Jacob Holmab, California State University at East Bay; Eric Suess, California State University at East Bay
|
A Stability Analysis of Sparse K-Means
Abraham Apfel, University of Pittsburgh; Stewart J. Anderson, University of Pittsburgh
|
Clustering of Omics Data in Biological Systems
Min Wang, Mathematical Biosciences Institute
|
A MAD-Bayes Algorithm for State-Space Inference and Clustering with Application to Querying Large Collections of ChIP-Seq Data Sets
Kailei Chen
|
Clustering for Personalized Preference Prediction
Fan Yang, University of Minnesota - Twin Cities; Xiaotong Shen, University of Minnesota
|
Quantifying Power and Bias in Cluster-Randomized Trials Using Mixed Models Versus Cluster-Level Analysis in the Presence of Missing Data: A Simulation Study
Brenda Vincent, University of Arizona; Melanie L. Bell, University of Arizona
|
Effects of Clustered Random Data Swapping for Statistical Data Limitation on Selected NHIS Estimates of Health Characteristics
Joe Fred Gonzalez, CDC/NCHS; Guangyu Zhang, CDC/NCHS; Anna Oganian, CDC/NCHS
|
A Bayesian Spatial Clustering Method
Yin Xi, The University of Southwestern Medical Center at Dallas
|
Analysis of Clustered and Biased Survival Data with Incomplete Covariates
Hua Shen, University of Calgary
|
Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
|
Stepped Wedge Cluster Randomized Controlled Trials with Two Layers of Clustering: Designs and Comparisons of Power
Ranran Dong, The Ohio State University; Abigail Shoben, The Ohio State University
|
Biomarker Detection and Categorization in RNA-Seq Meta-Analysis Using Bayesian Hierarchical Model
Tianzhou Ma, University of Pittsburgh; Faming Liang, University of Florida; George Tseng, University of Pittsburgh
8:35 AM
|
Least Squares Regression Methods for Clustered ROC Data with Discrete Covariates
Liansheng Tang, George Mason University/National Institutes of Health; Wei Zhang, Chinese Academy of Sciences; Qizhai Li, Chinese Academy of Sciences; Xuan Ye, George Mason University/FDA; Leighton Chan, National Institutes of Health
8:35 AM
|
Stepped Wedge Cluster Randomized Controlled Trials with Two Layers of Clustering: Designs and Comparisons of Power
Ranran Dong, The Ohio State University; Abigail Shoben, The Ohio State University
8:50 AM
|
A Finite Mixture Model for Clustered Bivariate Binary Data: Application to Ophthalmologic Data Structures
John Kwagyan, Howard University College of Medicine
8:50 AM
|
GloboLakes: Functional Clustering of MERIS and AATSR Lake Quality and Temperature Data
Ruth O'Donnell, University of Glasgow; Claire Miller, University of Glasgow; Marian Scott, University of Glasgow
8:55 AM
|
Modeling Clustered Bivariate Binary Outcome
Edmund Ameyaw, Howard University; Paul Bezandry, Howard University; Victor Apprey, Howard University; John Kwagyan, Howard University College of Medicine
9:05 AM
|
Inferring Brain Signals Synchronicity from a Sample of EEG Readings
Qian Li, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles; Damla Senturk, University of California at Los Angeles
9:05 AM
|
Two Approaches to Topic Modeling Within an Encyclopedic Corpus
Lauren Tilton, Yale University
9:25 AM
|
A Semiparametric Bayesian Survival Analysis Using Covariate-Dependent Clustering, with Application to Pediatric Kidney Transplantation Data
Hang J. Kim, University of Cincinnati; Mi-Ok Kim, Cincinnati Children's Hospital Medical Center
9:50 AM
|
Clustering Multiscale Spatial Functional Data with Application to Precipitation Regimes Identification
Haozhe Zhang, Iowa State University; Zhengyuan Zhu, Iowa State University; Shuiqing Yin, Beijing Normal University
10:35 AM
|
Decoding Brain States from fMRI Data with a Machine Learning Method
Elizabeth Chou
10:35 AM
|
Cluster Detection of Spatial Regression Coefficients
Junho Lee, University of Wisconsin; Ronald Gangnon, University of Wisconsin; Jun Zhu, University of Wisconsin - Madison
10:50 AM
|
Hyperspectral Video Analysis Using Graph-Clustering Methods
Zhaoyi Meng
10:55 AM
|
Quantifying and Mapping Spatial Variability in Forest Stands
Gavin Corral, USDA/NASS
11:05 AM
|
Likelihood Methods for Non-Negative Matrix Factorization
Frank Shen, Penn State University
11:10 AM
|
Model-Based Clustering for Large-Scale Dynamic Networks
Kevin Lee, Penn State University; Lingzhou Xue, Penn State University; David Hunter, Penn State University
11:15 AM
|
A Cluster-Based Taxonomy of Bus Crashes in the United States
Dooti Roy, University of Connecticut; Ved Deshpande, University of Connecticut; Matthew Henry Linder, University of Connecticut
2:25 PM
|
Spatial Data Compression via Adaptive Dispersion Clustering
Yuliya Marchetti, Jet Propulsion Laboratory; Hai Nguyen, Jet Propulsion Laboratory; Amy Braverman, Jet Propulsion Laboratory
2:45 PM
|
Model-Based Clustering and Visualization of RNA-Seq Data
Kushal Dey, The University of Chicago; Matthew Stephens, The University of Chicago
3:05 PM
|
|
Wednesday, 08/03/2016
|
Segmentation Analysis in Market Research
Joseph Retzer, ACT Market Research Solutions; Ewa Nowakowska, GfK
|
Coefficient of Variance Correction for Cluster-Randomized Trial Power Calculation Is Anticonservative
Fangzhou Liu, University of Massachusetts - Amherst; Ken Kleinman, University of Massachusetts - Amherst
|
Small Sample Inference in Imbalanced Cluster Randomized Clinical Trials with Binary Outcomes
Dong Hyun Ahn, New York University; Judith D. Goldberg, New York University School of Medicine
|
Clustering Functional Data from High-Throughput Sequencing Assays
Emery Goossens; Heejung Shim, Purdue University
|
Nonparametric Spatial Models for Clustered Ordered Periodontal Data
Dipankar Bandyopadhyay, Virginia Commonwealth University; Antonio Canale, University of Turin/Collegio Carlo Alberto
8:35 AM
|
Efficient Bayesian Model-Based Clustering Method for Identification of Transcription Factor--Binding Sites for ChIA-PET Data
Ioannis Vardaxis, Norwegian University of Science and Technology; Bo Henry Lindqvist, Norwegian University of Science and Technology; Finn Drabløs, Norwegian University of Science and Technology; Morten Beck Rye, Norwegian University of Science and Technology
8:35 AM
|
An Affine-Invariant Bayesian Cluster Process with Split-Merge Gibbs Sampler
Hsin-Hsiung Huang, University of Central Florida; Jie Yang, University of Illinois at Chicago
8:50 AM
|
Small Sample Inference in Imbalanced Cluster Randomized Clinical Trials with Binary Outcomes
Dong Hyun Ahn, New York University; Judith D. Goldberg, New York University School of Medicine
8:50 AM
|
Cluster-Adjusted Regression for Displaced Subject Data (CARDS): Marginal Inference Under Potentially Informative Temporal Cluster Size Profiles
Somnath Datta, University of Florida; JOE BIBLE, National Institutes of Health; JAMES BECK, The University of North Carolina at Chapel Hill
9:15 AM
|
Clustering Functional Data from High-Throughput Sequencing Assays
Emery Goossens; Heejung Shim, Purdue University
9:50 AM
|
A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data
Jiehuan Sun, Yale University; Jose D. Herazo-Maya, Yale School of Medicine; Naftali Kaminski, Yale School of Medicine; Hongyu Zhao, Yale University; Joshua Warren, Yale University
10:05 AM
|
Using Feature Vectors to Cluster Social Networks
Tracy Sweet, University of Maryland; David Sungjun Choi, Carnegie Mellon University; Gabrielle Flynt, Bucknell University
10:35 AM
|
Statistical Analysis of Magnetic Resonance Imaging--Based Tumor Heterogeneity Density Profiles in Glioblastoma
Abhijoy Saha, The Ohio State University; Sayantan Banerjee, MD Anderson Cancer Center; Sebastian A. Kurtek, The Ohio State University; Shivali Narang, MD Anderson Cancer Center; Ganesh Rao, MD Anderson Cancer Center; Juan Martinez, BrainLAB; Karthik Bharath, University of Nottingham; Arvind Rao, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
10:35 AM
|
Dimensionality Reduction for Clustering Data on a Unit Hypersphere with Application to Text Mining
Semhar Michael, South Dakota State University; Volodymyr Melnykov, University of Alabama
10:35 AM
|
Trinary Framework for Modeling Multiple Parameters and Cluster-Based Interactionss
Turkan Gardenier, Pragmatica Corp.; John Stark Gardenier, CDC/NCHS (Retired)
10:50 AM
|
A New Approach to Visualizing and Clustering Mixed Categorical and Numeric Data
Samuel Buttrey, Naval Postgraduate School; Lyn Whitaker, Naval Postgraduate School
10:50 AM
|
Information Based Clustering of Gene Expression Signatures in Primary Breast Carcinoma Patients
Milan Bimali, University of Kansas School of Medicine; Michael Brimacombe, University of Kansas Medical Center
11:05 AM
|
Clustering of Soil Geochemical and Mineralogical Data from the Conterminous United States Using a Bayesian Finite Mixture Model
Karl Ellefsen, U.S. Geological Survey; Laurel Woodruff, U.S. Geological Survey; David Smith, U.S. Geological Survey; William Cannon, U.S. Geological Survey; Federico Solano, U.S. Geological Survey
11:20 AM
|
Cluster Analysis of Financial Institution Fraud: The Role of Civil Money Penalties
Sharon Pedersen
11:20 AM
|
Identification of Homogeneous Areas Through Lattice-Based Spatio-Temporal Clustering
Rodrigue Ngueyep Tzoumpe, IBM Research; Huijing Jiang, IBM; YoungDeok Hwang, IBM T. J. Watson Research Center
2:20 PM
|
Analyzing Binary Outcome Data from a Partially Clustered Design
Brittney Bailey, The Ohio State University; Abigail Shoben, The Ohio State University
2:20 PM
|
A Multi-Scale Spatial Model for Stroke Lesion Segmentation
Huiyan Sang, Texas A&M University; Ciprian Crainiceanu, The Johns Hopkins University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; John Muschelli, The Johns Hopkins University
2:25 PM
|
The Microclustering Property: When the Cluster Sizes Grow Sublinearly with the Size of the Data Set
Abbas Zaidi, Duke University; Angie Shen, Duke University
2:50 PM
|
A Multivariate Selection Model for Cluster-Level Outcome-Dependent Missing Data
Jiebiao Wang, The University of Chicago; Pei Wang, Icahn School of Medicine at Mount Sinai; Lin Chen, The University of Chicago
2:50 PM
|
A Semiparametric Frailty Model with Time-Varying Coefficients Based on Penalized B-Splines with Application to the Naturalistic Truck Driving Study
Yi Liu
2:50 PM
|
Estimation of Rank Correlation for Clustered Data
Bernard Rosner, Harvard Medical School; Robert Glynn, Harvard Medical School
3:05 PM
|
Bayesian Semiparametric Latent Mediation Model
Chanmin Kim, Harvard; Michael Daniels, The University of Texas at Austin; Yisheng Li, MD Anderson Cancer Center
3:05 PM
|
Archetypal Analysis: Three Case Studies
Anna Quach; Adele Cutler, Utah State University
3:05 PM
|
Trace Evidence in Forensic Study Through Cluster Analysis
Kyle Carter, University of Arizona; Brooke A. Rabe, University of Arizona; Lingling An, University of Arizona
3:05 PM
|
Learning About Nonrespondents' Characteristics Using Standard Exploratory Data Analysis (EDA) Tools
MoonJung Cho, Bureau of Labor Statistics; Larry Lang, Bureau of Labor Statistics
3:20 PM
|
|
Thursday, 08/04/2016
|
A Unified Modeling Framework for State-Related Changes in High-Dimensional Effective Brain Connectivity
Hernando Ombao, University of California at Irvine; Yuxiao Wang, University of California at Irvine; Chee-Ming Ting, Universiti Teknologi Malaysia
8:35 AM
|
On Assessing the Difficulty of a Clustering Problem: The Introduction of Sensitivity and Specificity to Cluster Analysis
Jonathon O'Brien
8:35 AM
|
Integrative Subtype Analysis of Ovarian Cancer Using Non-Negative Matrix Factorization
Prabhakar Chalise, University of Kansas Medical Center; Ellen L. Goode, Mayo Clinic; Brooke L. Fridley, University of Kansas Medical Center
8:35 AM
|
Dynamic Functional Classification and Clustering
J. Richard Landis, University of Pennsylvania; Wensheng Guo, University of Pennsylvania Perelman School of Medicine; Xiaoling Hou, University of Pennsylvania
8:50 AM
|
A Contribution to Distance-Based Clustering in the Presence of Errors
Maha Bakoben, Imperial College London; Tony Bellotti, Imperial College London; Niall Adams, Imperial College London
8:50 AM
|
Clustering Alzheimer's Patients into 'Syndrome Groups' Using Longitudinal Biomarker and Cognitive Trajectories
Teresa Filshtein, University of California at Davis; Laurel A. Beckett, University of California at Davis
8:50 AM
|
Including Data-Analytical Stability in Cluster-Based Inference
Sanne Roels, Ghent University; Tom Loeys, Ghent University; Beatrijs Moerkerke, Ghent University
9:05 AM
|
Application of Classification and Clustering Methods on MVoC (Medical Voice of Customer) Data for Scientific Engagement
Yingzi Xu, North Carolina State University; Jeffery Painter, GlaxoSmithKline
9:05 AM
|
AFT Modeling of Misclassified Clustered Interval-Censored Data
Alejandro Jara, Pontificia Universidad Católica de Chile; María José García-Zattera, Pontificia Universidad Católica de Chile; Arnost Komarek, Charles University in Prague
9:05 AM
|
Clustering with Non-Convex Penalized Gaussian Graphical Models for Simultaneous Parameter Estimation and Pursuit of Sparseness
Chen Gao, University of Minnesota; Wei Pan, University of Minnesota; Xiaotong Shen, University of Minnesota; Yunzhang Zhu, The Ohio State University
9:05 AM
|
Model-Based Clustering with Measurement Errors
Wanli Zhang, Oregon State University; Yanming Di, Oregon State University
9:20 AM
|
Methods for Joint Clustering of Longitudinal HIV Biomarker Trajectories in the Presence of Missing and Censored Observations
Miranda Lynch, University of Connecticut Health Center; Marianna Baum, Florida International University; Vladimir Novitsky, Harvard T.H. Chan School of Public Health; Victor De Gruttola, Harvard
9:20 AM
|
A Simultaneous Variable Selection and Clustering Method for High-Dimensional Multinomial Regression Model
Sheng Ren, University of Cincinnati; Jason Lu, Cincinnati Children's Hospital Research Foundation; Emily Lei Kang, University of Cincinnati
9:35 AM
|
Classification of Multivariate Time Series Data with Applications to ECIS
Laura Tupper, Cornell University; David Matteson, Cornell University
9:35 AM
|
Clustering Longitudinal Unbalanced Data: An Application to the Early Childhood Growth Pattern
Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
9:50 AM
|
Pearson's Chi-Square Test and Rank Correlation Inferences for Clustered Data
Joanna Shih, National Cancer Institute; Michael Fay, National Institute of Allergy and Infectious Diseases
10:50 AM
|
A Cluster-Based Outlier Detection Scheme for Multivariate Data
J. Marcus Jobe, Miami University of Ohio (Retired); Michael Pokojovy, Karlsruhe Institute of Technology
11:05 AM
|
Using Clustered Historical Borrowing in Clinical Trials
Michelle Detry, Berry Consultants; Kert Viele, Berry Consultants
11:15 AM
|
Robust Cluster-Based Estimators of Mean Vector and Covariance Matrix
Michael Pokojovy, Karlsruhe Institute of Technology; J. Marcus Jobe, Miami University of Ohio (Retired)
11:20 AM
|
A Clustering Algorithm for Human Genetic Data
Jae Brodsky, Thermo Fisher Scientific; Teresa Webster, Thermo Fisher Scientific; Dorothy Oliver, Thermo Fisher Scientific; Jeremy Gollub, Thermo Fisher Scientific; Barry Eynon, Thermo Fisher Scientific
11:20 AM
|
Covariate-Adjusted ROC Analysis Using Covariate Balancing Propensity Score
Seungbong Han, Gachon University
11:35 AM
|
Sparse Clustering of High-Dimensional Gaussian Mixtures
Jing Ma, University of Pennsylvania; Tony Cai, University of Pennsylvania; Linjun Zhang, University of Pennsylvania
11:35 AM
|
Integrated Analysis Based on Cluster Analysis and Analysis of Differential Expression
Adetayo Kasim, Durham University
11:35 AM
|
Reversible-Jump MCMC for Likelihood-Based Finite Mixture Models for Ordinal Data
Daniel Fernandez Martinez, New York University
11:50 AM
|
A Comparison of Model-Based and Data-Driven Methods for Clustering of Multivariate Longitudinal Data
Dawei Liu, Biogen ; Ih Chang, Biogen; Donald Johns, Biogen; Stacy Lindborg, Biogen
12:05 PM
|
|
|
