Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

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4 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Utilizing Public Genomic Data for the Public Good: Improving Understanding of Disease Etiology and Treatment — Invited Papers
WNAR, Korean International Statistical Society, Section on Statistics in Genomics and Genetics
Organizer(s): Dongjun Chung, The Ohio State University
Chair(s): Dongjun Chung, The Ohio State University
10:05 AM	Harmonizing Genetic Ancestry and Self-Identified Race/Ethnicity in Genome-Wide Association Studies Hua Tang, STANFORD UNIVERSITY
10:25 AM	Model Checking and More Powerful Inference in Transcriptome-Wide Association Studies Wei Pan, University of Minnesota
10:45 AM	Integrative Analysis of Cancer Multi-Omics Data Qianxing Mo, H. Lee Moffitt Cancer Center & Research Institute
11:05 AM	Translating Genomic and Transcriptomic Studies to Identify Actionable Targets Hae Kyung Im, University of Chicago
11:25 AM	Prioritizing Disease Candidate Genes Using Knockout Mouse Phenotype Data Donghyung Lee, Miami University
11:45 AM	Floor Discussion

123 !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Unraveling Tissue Heterogeneity for Analyzing Omics Data in Cancer Research — Topic Contributed Papers
WNAR, ENAR, Biometrics Section
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Yuqing Zhang, Gilead Sciences Inc.
1:05 PM	Outcome-Guided Molecular Disease Subtyping for Precision Medicine in Omics Data George Tseng, University of Pittsburgh
1:25 PM	Co-Expression Analysis of Complex Tissues Matthew Nicholson McCall, University of Rochester Medical Center; Yun Zhang, J. Craig Venter Institute (JCVI)
1:45 PM	Clustering of Single Cells Based on Expressions of Subsets of Genes Sha Cao, Indiana University School of Medicine; Changlin Wan, Purdue University; Chi Zhang, Indiana University School of Medicine; Anru Zhang, University of Wisconsin-Madison
2:05 PM	Adjusting for Handling Effects in Transcriptomics Data for Tumor Subtyping Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:25 PM	Multi-Omic Integration to Reveal Functional Consequences of DNA Alterations Xiaoyu Song, Icahn School of Medicine at Mount Sinai; Jiayi Ji, Ichan School of Medicine at Mount Sinai; Lin Chen, University of Chicago; Pei Wang, Icahn Medical School at Mount Sinai
2:45 PM	Floor Discussion

124	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Network Modeling and Visualizations — Topic Contributed Papers
Korean International Statistical Society, WNAR
Organizer(s): Ick Hoon Jin, Yonsei University
Chair(s): Michael Schweinberger, Rice University
1:05 PM	Modeling Interaction Lengths in Continuous-Time Dynamic Networks Presentation Riccardo Rastelli, University College Dublin
1:25 PM	A Probabilistic Framework for Models of Dependent Network Data, with Applications to Brokerage in Social Networks Jonathan Stewart; Michael Schweinberger, Rice University
1:45 PM	Network Mediation Analysis: Latent Space and Eigen-Analysis Approaches Ick Hoon Jin, Yonsei University
2:05 PM	HubViz: A Statistical Model for Hub-Centric Visualization of Multivariate Binary Data Dongjun Chung, The Ohio State University; Jin Hyun Nam, Medical University of South Carolina; Ick Hoon Jin, Yonsei University
2:25 PM	Network Based Variable Selection for High-Dimensional Longitudinal Data Cen Wu, Kansas State University; Fei Zhou, Kansas State University
2:45 PM	Floor Discussion

240 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Analysis of Complex Imaging Data — Invited Papers
WNAR, Section on Statistics in Imaging, Mental Health Statistics Section
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
1:05 PM	Principle ERP Reduction and Analysis: Estimating and Using Principle ERP Waveforms Underlying ERPs Across Tasks, Subjects and Electrodes Damla Senturk, UCLA; Shafali Jeste, UCLA; Emilie Campos, UCLA; Chad Hazlett, UCLA; Patricia Tan, UCLA; Holly Truong, UCLA; Sandra Loo, UCLA; Charlotte DiStefano, UCLA
1:35 PM	Covariance Regression for Connectome Outcomes Brian Caffo, Johns Hopkins University; Rossi Luo, The University of Texas Health Science Center; Yi Zhao, Indiana University; Bingkai Wang, Johns Hopkins Bloomberg School of Public Health
2:05 PM	A Source Separation Method for Investigating Brain Connectome Traits Ying Guo, Emory University; Yikai Wang, Emory University
2:35 PM	Floor Discussion

242 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Deep Learning Methods in Biomedical Studies — Invited Papers
WNAR, Section on Statistical Computing, Section on Statistical Learning and Data Science
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Kin Yau Alex Wong, The Polytechnic University of Hong Kong
1:05 PM	Multi-Stage Sequential Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods Youyi Fong, Fred Hutchinson Cancer Research Center; Jun Xu, None
1:30 PM	A Computationally-Favorable Reframing of Proportional-Hazards Modeling for Large Time-to-Event Data Sets with Applications to Deep Learning Noah Simon, University of Washington
1:55 PM	Deep Learning Methods for Single Cell Data Denoising and Multimodal Imputation Nancy Zhang, The University of Pennsylvania
2:20 PM	Discussant: Wei Sun, Fred Hutchinson Cancer Research Center
2:40 PM	Floor Discussion

266	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Spatial-Temporal Modeling and Its Applications — Topic Contributed Papers
Korean International Statistical Society, WNAR
Organizer(s): Won Chang, University of Cincinnati
Chair(s): Won Chang, University of Cincinnati
1:05 PM	An Analysis of Hurricane Impact Across Multiple Cancers: Accessing Spatio-Temporal Variation in Cancer-Specific Survival with Hurricane Katrina and Louisiana SEER Data Rachel Carroll, University of North Carolina at Wilmingt
1:25 PM	Physics Driven Dynamic Imputation with Application to Pollution Satellite Images Youngdeok Hwang, Baruch College, CUNY; Won Chang, University of Cincinnati; Hang Kim, University of Cincinnati
1:45 PM	Source-Specific Exposure Assessment by Using Bayesian Spatial Multivariate Receptor Modeling Eun Sug Park, Texas A&M Transportation Institute
2:05 PM	Spatio-Temporal Modeling of Power Grid Frequency Data Amanda Lenzi, Argonne National Laboratory; Mihai Anitescu, Argonne National Laboratory and The University of Chicago; Julie Bessac, Argonne National Laboratory
2:25 PM	A New Computer Model Calibration Framework Using Deep Learning Saumya Bhatnagar, Univ of Cincinnati - Cincinnati, OH; Won Chang, University of Cincinnati; Seonjin Kim, Miami University; Jiali Wang, Argonne National Laboratory
2:45 PM	Floor Discussion

305 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Asymmetry in Objectives and Samples for Classification and Multiple Testing — Topic Contributed Papers
WNAR, IMS, Biometrics Section
Organizer(s): Xin Tong, University of Southern California
Chair(s): Jingyi Jessica Li, University of California, Los Angeles
10:05 AM	Optimal Hypergeometric Confidence Intervals Lijia Wang, University of Southern California; Jay Bartroff, University of Southern California; Gary Lorden, California Institute of Technology
10:25 AM	Neyman-Pearson Classification Under Label Noise Shunan Yao, University of Southern California; Bradley Rava, University of Southern California; Xin Tong, University of Southern California; Gareth James, University of Southern California
10:45 AM	Neyman-Pearson Classification of Dependent Data Yusheng Wu; Shunan Yao, University of Southern California; Xin Tong, University of Southern California
11:05 AM	Floor Discussion

386 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances of Causal Inference in Observational Studies — Invited Papers
WNAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Jingshen Wang, UC Berkeley
Chair(s): Mark Van der Laan, University of California, Berkeley
1:05 PM	Local Regression Distribution Estimators Presentation Xinwei Ma, University of California San Diego; Matias Cattaneo, Princeton University; Michael Jansson, University of California Berkeley
1:35 PM	Carving for Treatment Effect Estimation: Via Efficient Model Aggregation Snigdha Panigrahi, University of Michigan; Jingshen Wang, UC Berkeley; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
2:05 PM	Selecting Subpopulations for Causal Inference in Regression-Discontinuity Studies Fabrizia Mealli, University of Florence
2:35 PM	Floor Discussion

404	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Novel Methods for High-Dimensional and Large-Scale Survival Data — Topic Contributed Papers
WNAR, Lifetime Data Science Section, ENAR
Organizer(s): Ludovic Trinquart, Boston University School of Public Health
Chair(s): Lexin Li, University of California, Berkeley
1:05 PM	Inference for High-Dimensional Censored Quantile Regression Zhe Fei; Qi Zheng, University of Louisville; Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan
1:25 PM	A New Joint Screening Method for Right-Censored Time-to-Event Data with Ultra-High-Dimensional Covariates Gang Li, University of California, Los Angeles
1:45 PM	Double-Slicing Assisted Sufficient Dimension Reduction for High-Dimensional Censored Data Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
2:05 PM	ANALYZING LARGE SCALE RECURRENT EVENT DATA with a DIVIDE-AND-CONQUER APPROACH Jerry Cheng, New York Institute of Technology
2:25 PM	Lights: A Generalized Joint Model for High-Dimensional Multivariate Longitudinal Data and Censored Durations Simon Bussy, INSERM
2:45 PM	Floor Discussion

444 !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Highlights from the Journal STAT — Topic Contributed Papers
SSC (Statistical Society of Canada), International Statistical Institute, Section on Statistical Learning and Data Science, WNAR
Organizer(s): Hao Helen Zhang, University of Arizona
Chair(s): Hao Helen Zhang, University of Arizona
10:05 AM	Baum-Welch Algorithm on Directed Acyclic Graph for Mixtures with Latent Bayesian Networks Jia Li, Penn State University; Lin Lin, The Pennsylvania State University
10:25 AM	Penalized Euclidean Distance Regression Daniel Vasiliu, College of William & Mary; Ian Dryden, University of Nottingham; Tanujit Dey, Harvard Medical School and Brigham and Women's Hospital
10:45 AM	Syncytial Clustering Ranjan Maitra, Iowa State University; Israel A. Almodovar-Rivera, University of Puerto Rico
11:05 AM	Clustering and Bi-Clustering for High-Frequency Financial Time Series Based on Mutual Information Jian Zou, Worcester Polytechnic Institute; Haitao Liu, Worcester Polytechnic Institute; Nalini Ravishanker, University of Connecticut
11:25 AM	From Causal Inference to Gene Regulation Caroline Uhler, Massachusetts Institute of Technology
11:45 AM	Floor Discussion

529	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Clustering and Community Detection — Invited Papers
WNAR, IMS, ENAR
Organizer(s): Xin Tong, University of Southern California
Chair(s): Rachel Wang, University of Sydney
1:05 PM	Community Detection with Partial Information Xin Tong, University of Southern California
1:30 PM	Community Estimation in Multilayer Stochastic Block Models Jing Lei, Carnegie Mellon University
1:55 PM	Generalized R Square Measures for Capturing Mixtures of Linear Dependences Presentation Jingyi Jessica Li, University of California, Los Angeles
2:20 PM	A Flexible Latent Space Model for Multilayer Networks Ji Zhu, University of Michigan
2:45 PM	Floor Discussion

579 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
30 Years Journey of Bayesian Adaptive Designs: From Bayesian Monitoring to Dynamic Treatment Regime — in Honor of Dr. Peter Thall’s 70th Birthday — Topic Contributed Papers
Biopharmaceutical Section, WNAR, Biometrics Section
Organizer(s): Ruitao LIN, The University of Texas MD Anderson Cancer Center
Chair(s): Ying Yuan, The University of Texas MD Anderson Cancer Center
3:05 PM	Subgroup-Specific Dose Finding in Phase I Clinical Trials Based on Time to Toxicity Allowing Adaptive Subgroup Combination Andrew Genius Chapple, LSUHSC; Peter F. Thall, M.D. Anderson Cancer Center
3:25 PM	An Adaptive Trial Design to Optimize Dose Schedule Regimes with Delayed Outcomes Ruitao LIN, The University of Texas MD Anderson Cancer Center; Ying Yuan, The University of Texas MD Anderson Cancer Center; Peter F. Thall, M.D. Anderson Cancer Center
3:45 PM	Robust Adaptive Incorporation of Historical Control Data in a Randomized Trial of External Cooling to Treat Septic Shock Presentation Thomas Murray, University of Minnesota; Peter F. Thall, M.D. Anderson Cancer Center; Frederique ARTHUR Schortgen, Groupe Hospitalier Henri-Mondor; Sarah ARTHUR Zohar, Centre de Recherche des Cordeliers; Sandrine Katsahian, Hopital Europen Georges-Pompidou
4:05 PM	Rethinking Prior Effective Sample Size Satoshi Morita, Kyoto University
4:25 PM	Utilizing Bayesian Analysis for Probabilistic Decision Making in a Platform Clinical Trial J. Wathen, Gilead Sciences
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association