Keyword Search
Legend:
CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Network returned 80 record(s)
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Sunday, 07/29/2018
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Network Meta-Analysis of Disconnected Networks: How Dangerous Are Random Baseline Treatment Effects?
Audrey Béliveau, University of Waterloo; Sarah Goring, SMG Outcomes Research; Robert W Platt, McGill University; Paul Gustafson, University of British Columbia
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Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
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High-Dimensional Gaussian Graphical Model for Network-Linked Data
Ji Zhu, University of Michigan; Boang Liu, University of Michigan; Tianxi Li, University of Michigan; Cheng Qian, University of Michigan; Elizaveta Levina, University of Michigan
2:45 PM
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Fusion of the Semiparametric Models and Network Measures in the Study of Brain Dynamic Functional Connectivity
Maria Kudela, Takeda Pharmaceuticals; Jaroslaw Harezlak, Indiana University Bloomington; Mario Dzemidzic, Indiana University School of Medicine; Brandon Oberlin, Indiana University School of Medicine; David A Kareken, Indiana University School of Medicine; Joaquin Goni, Purdue University
2:45 PM
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Preferential Recruitment Modeling for Respondent-Driven Sampling
Katherine McLaughlin, Oregon State University
2:50 PM
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Toward a Sampling Theory for Statistical Network Analysis
Harry Crane, Rutgers
3:05 PM
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Network Regression and Inference
Peng Wang, University of Cincinnati; Xiaotong Shen, University of Minnesota
3:25 PM
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New Methods for Incorporating Network Cyclic Structures to Improve Community Detection
Behnaz Moradijamei, Kansas State University; Michael Higgins, KANSAS STATE UNIVERSITY; Heman Shakeri, Kansas State University
4:35 PM
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LinkedIn Feed Optimization
Souvik Ghosh, LinkedIn
5:05 PM
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Extendability for Exchangeable Network Models
Jiaqi Yin, University of Washington; Thomas Richardson, University of Washington
5:20 PM
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Incorporating Host Genomics Data and Microbial Network Inference
Richard Bonneau, NYU Center for Data Science & Simons Foundation
5:25 PM
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Monday, 07/30/2018
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A Joint Modeling Approach for Directed Acyclic Network Data
Yan Zhou, Merck &Co., Inc
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
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Segmenting Dynamic Network Data
Rex Cheung, San Francisco State University
8:50 AM
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Making Optimal Matching Size-Scalable Using Optimal Calipers
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
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Inferring Low-Rank Population Structure from Multiple Network Samples
Keith Levin, University of Michigan; Asad Lodhia, University of Michigan; Elizaveta Levina, University of Michigan
9:05 AM
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Network Structural Equation Modeling for Photovoltaic Modules Lifetime Performance in Real-World and Accelerated Exposures
Wei-Heng Huang, Case Western Reserve University; JiQi Liu, Case Western Reserve University; Alan J. Curran, Case Western Reserve University; Justin S. Fada, Case Western Reserve University; Jennifer L. Braid, Case Western Reserve University; Roger H. French, Case Western Reserve University
9:20 AM
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Decision-Theoretic Aspects of Causal Inference Under Network Interference
Daniel L Sussman, Boston University
9:25 AM
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Designing A/B Tests in a Collaboration Network
Sangho Yoon, Google
9:50 AM
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ESTIMATING TREATMENT IMPORTANCE in MULTIDRUG-RESISTANT TUBERCULOSIS USING TARGETED LEARNING: AN OBSERVATIONAL INDIVIDUAL PATIENT DATA NETWORK META-ANALYSIS
Guanbo Wang, McGill University; Mireille Schnitzer, University of Montreal; Andrea Benedetti, Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre
10:35 AM
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Supervised Clustering via an Implicit Network for High-Dimensional Data
Brandon Park; Anand N Vidyashankar, George Mason University; Tucker S McElroy, U.S. Census Bureau
11:05 AM
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Forecasting of Grape Powdery Mildew Disease Risk in Vineyards Using a Bayesian Learning Network Model
Nathaniel Newlands, Agriculture and Agri-Food Canada (Science and Technology Branch); Weixun Lu, Agriculture and Agri-Food Canada (Science and Technology Branch); Odile Carisse, Agriculture and Agri-Food Canada (Science and Technology Branch); David E. Atkinson, University of Victoria
11:05 AM
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Spatial Clustering Using Spatio-Temporal Network Data
Ashwini Venkatasubramaniam, University of Glasgow; Ludger Evers, University of Glasgow; Konstantinos Ampountolas, University of Glasgow
11:05 AM
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Bayesian Network Models for Integrating Genetics and Metabolomics Data
Denise Marie Scholtens, Northwestern University; Alan Kuang, Northwestern University
11:25 AM
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Sharing of Network Data: Differentially Private Synthetic Networks
Aleksandra Slavkovic, Pennsylvania State University; Vishesh Karwa, Ohio State University; Pavel Krivitsky, University of Wollongong
11:35 AM
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 AM
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Deep Neural Network Model for Predicting Gene Activity Using Three-Dimensional Structures of Chemical Compounds
Pingzhao Hu, University of Manitoba; Md. Mohaiminul Islam, University of Manitoba; Kevin Jeffers, University of Manitoba; Andrew M Hogan , University of Manitoba; Rebecca Davis, University of Manitoba; Silvia Cardona, University of Manitoba
2:05 PM
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Bayesian Network Regularized Regression for Modeling Urban Crime Occurrences
Elizabeth Mary Upton, Boston University; Luis Carvalho, Boston University
2:20 PM
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Prediction on Network-Linked Data by Matrix Variate Models
Xuefei Zhang, University of Michigan; Ji Zhu, University of Michigan
2:35 PM
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Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, UC Santa Cruz; Abel Rodriguez, UC Santa Cruz
2:45 PM
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Asymptotic Analysis of Large-Scale Multi-Relational Network Through Latent Variable Modeling
Zhi Wang, Columbia University; Xueying Tang, Columbia University; Jingchen Liu, Columbia University
2:50 PM
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Comparison of Functional Brain Networks via Correlation Preserving Random Networks
Ixavier Higgins, Rollins School of Public Health-Emory University; Suprateek Kundu, Emory University Rollins School of Public Health; Ying Guo, Emory University
3:20 PM
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Network Augmented Classification
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
3:25 PM
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Some Sampling and Aggregation Strategies for Statistical Process Monitoring
William H Woodall, Virginia Tech; Inez Zwetsloot, City University of Hong Kong
3:25 PM
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Tuesday, 07/31/2018
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Differences Between Telomerase Activation and ALT Based on the Theory of G-Networks
Kyung Hyun Lee, Rice University; Marek Kimmel, Rice University
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An Improved Inference Method for Multivariate Meta-Analysis and Meta-Regression
Hisashi Noma, The Institute of Statistical Mathematics
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Sparse Causal Dynamic Network Modeling of fMRI
Xuefei Cao, Brown University; Xi Luo, Brown University; Bjorn Sandstede, Brown University
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Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
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Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health
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Generalized Estimating Equations for Social Network Data
Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartners
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Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
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Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
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Invalid Statistical Inference Due to Social Network Dependence
Youjin Lee, Johns Hopkins School of Public Health; Elizabeth Ogburn, Johns Hopkins School of Public Health
9:05 AM
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Incorporating Genetic Network into Case-Control Association Studies with High-Dimensional DNA Methylation Data
Hokeun Sun, Pusan National University
9:35 AM
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Inferring Gene Regulatory Networks from a Population of Yeast Segregants
Dabao Zhang, Purdue University
9:35 AM
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Multivariate Network Meta-Analysis to Mitigate Outcome Reporting Bias
Stacia Marie DeSantis, University of Texas Health Science Center at Houston
9:55 AM
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Microbial Network Estimation Using Compositional Graphical Lasso
Chuan Tian, Oregon State University; Duo Jiang, Oregon State University; Tom Sharpton, Oregon State University; Yuan Jiang, Oregon State University
9:55 AM
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Generalized Estimating Equations for Social Network Data
Miles Ott, Smith College; Bjorn Westgard, HealthPartners; Brian Martinson, HealthPartners; Michael Maciosek, HealthPartners
10:55 AM
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Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
11:40 AM
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Network Meta-Analysis: On the Use of the Standard Contrast-Based Approach in Disconnected Networks
Audrey Béliveau, University of Waterloo; Paul Gustafson, University of British Columbia
11:50 AM
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Semiparametric-Sparse Network Kernel Method for Genetic Pathway Analysis
Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ.; Inyoung Kim, Virginia Tech
2:05 PM
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Assessing Individual and Disseminated Causal Package Effects in Network HIV Treatment and Prevention Trials
Ashley Buchanan, University of Rhode Island; Donna Spiegelman, Harvard T.H. Chan School of Public Health; Sten Vermund, Yale University; Samuel Friedman, National Development and Research Institutes, Inc.; Judith Lok, Harvard T.H. Chan School of Public Health
2:45 PM
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Wednesday, 08/01/2018
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An Improved Estimator for Variance Components in Linear Mixed Model
Kun Yue, University of Washington; Jing Ma, Fred Hutch Cancer Research Center; Ali Shojaie, University of Washington
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Estimating the Size of a Hidden Finite Set: Large-Sample Behavior of Estimators
Si Cheng, Yale School of Public Health; Daniel J. Eck; Forrest W Crawford, Yale School of Public Health
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A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
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An Integrated Microbe-Metabolite Interaction Map
Jing Ma, Fred Hutch Cancer Research Center
8:35 AM
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Estimating the Size of a Hidden Finite Set: Large-Sample Behavior of Estimators
Si Cheng, Yale School of Public Health; Daniel J. Eck; Forrest W Crawford, Yale School of Public Health
8:45 AM
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Generalized Bayesian Factor Analysis for Integrative Clustering with Application to Multi-Modal Omics Data
Eun Jeong Min, University of Pennsylvania; Changgee Chang, University of Pennsylvania; Qi Long, University of Pennsylvania
8:50 AM
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Incorporating Sociodemographic Transitions and Family Network Structure into Historical Record Linkage
Kayla Frisoli, Carnegie Mellon University; Rebecca Nugent, Carnegie Mellon University; Brendan Murphy, University College Dublin
8:55 AM
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Graph Matching and Subsequent Inference in Errorfully Observed Network Data
Vince Lyzinski, University of Massachusetts Amherst
9:00 AM
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A Functional Neural Network for Genetic Data Analysis Involving High-Dimensional Multivariate Outcomes
Shan Zhang, Michigan State University; Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
9:20 AM
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A Variational Bayes Approach to Clustered Latent Preference Models for Directed Network Data
Jaron Lee, Australian National University
9:40 AM
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Neural Network with Spline Smoothing and Its Applications to Genetics
Pei Geng, Illinois State University; Shan Zhang, Michigan State University; Qing Lu, Michigan State University
10:05 AM
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Manifold Learning for Network Inference
Mingyue Gao, The Johns Hopkins University; Carey E Priebe, Johns Hopkins University; Minh Tang, Johns Hopkins University
10:35 AM
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Deep Learning for Data Imputation and Calibration Weighting
Yijun Wei, NISS; Luca Sartore, National Institute of Statistical Sciences; Jake Abernethy, National Agricultural Statistics Service, United States Department of Agriculture; Darcy Miller, National Agricultural Statistics Service; Kelly Toppin, National Agricultural Statistics Service; Clifford Spiegelman, Texas A&M University; Michael Hyman, USDA-NASS
11:15 AM
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Spectral Clustering via Unsupervised Random Forests
William Biscarri, University of Illinois at Urbana-Champaign; Robert J. Brunner, University of Illinois at Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
11:50 AM
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Methods for Population-Adjusted Indirect Comparisons
Joseph C Cappelleri, Pfizer Inc
2:50 PM
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Using Omics Data to Guide Network Classification in Neuroimaging Studies of Brain Diseases
Jean Yee Hwa Yang, University of Sydney, Australia; Elizaveta Levina, University of Michigan; Mengbo Li, University of Sydney; Jesús Arroyo , University of Michigan; Daniel A. Kessler, University of Michigan
2:55 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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Inter-Facility Transitional Care Management: Social Network Analysis Perspectives
Shun Zhang; Tim Rimnac, Health Care Services Corporation ; Qianyin Huang, NORC at the University of Chicago
3:20 PM
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Thursday, 08/02/2018
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SPAIG Award Collaboration: The National Science Foundation-Census Research Network (NCRN)
Daniel H Weinberg, Consultant; Lars Vilhuber, Cornell University
9:00 AM
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Are Extreme Value Estimation Methods Useful for Network Data?
Tiandong Wang, School of Operations Research and Information Engineering
9:15 AM
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Post-Stratification in Network Driven Sampling
Yilin Zhang, University of Wisconsin-Madison; Sebastien Roch, University of Wisconsin-Madison; Karl Rohe, University of Wisconsin-Madison
9:55 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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Model Visualization Techniques for a Social Network Model
Sam Tyner, Iowa State University; Heike Hofmann, Iowa State University
10:35 AM
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Statistical Inference of Brain Connectivity Networks: a Network Topology Based Method
Yishi Xing; Shuo Chen, University of Maryland, School of Medicine
10:55 AM
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A Kernel-Based Neural Network for High-Dimensional Genetic Risk Prediction Analysis
Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
11:05 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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Bayesian Integrative Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Suprateek Kundu, Emory University Rollins School of Public Health; Ixavier Higgins, Rollins School of Public Health-Emory University; Ying Guo, Emory University
11:15 AM
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Modeling Social Contact Networks in Niakhar, Senegal
Gail Potter, The Emmes Corporation; Jimmy Wong, FDA; Jonathan Sugimoto, Fred Hutch; Aldiouma Diallo, IRD; John Chris Victor , PATH; Kathleen Neuzil, University of Maryland ; M Elizabeth Halloran, Fred Hutch , University of Washington
11:20 AM
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