Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

Activity Details

7 * !	Sun, 8/8/2021, 1:30 PM - 3:20 PM	Virtual
Point Process Modeling and Estimation on Modern Recurrent Event Data — Invited Papers
Section on Statistical Learning and Data Science, WNAR, International Chinese Statistical Association
Organizer(s): Shizhe Chen, University of California, Davis
Chair(s): Shizhe Chen, University of California, Davis
1:35 PM	Causal Inference from Multi-Experiment Point Process Data Ali Shojaie, University of Washington
2:15 PM	Detecting Abrupt Changes in High-Dimensional Self-Exciting Poisson Processes Rebecca Willett, University of Chicago; Daren Wang, University of Notre Dame; Yi Yu, University of Warwick
2:35 PM	Marked Point Process Modeling and Estimation Problems in Neural Data Analysis Uri Eden, Boston University
2:55 PM	Discussant: Victor Solo, UNSW, Sydney
3:15 PM	Floor Discussion

39 !	Sun, 8/8/2021, 3:30 PM - 5:20 PM	Virtual
Recent Advances on Causal Inference and Mediation Analysis — Invited Papers
WNAR, Section on Statistics in Imaging, Section on Statistical Learning and Data Science
Organizer(s): Lexin Li, University of California, Berkeley
Chair(s): Qingyuan Zhao, University of Cambridge
3:35 PM	Assumption-Lean Causal Inference for Direct and Indirect Effects Stijn Vansteelandt, Ghent University; Oliver Hines, LSHTM
4:00 PM	Testing Directed Acyclic Graph via Structural, Supervised, and Generative Adversarial Learning Chengchun Shi, LSE; Yunzhe Zhou, University of California, Berkeley; Lexin Li, University of California, Berkeley
4:25 PM	Causality in Cognitive Neuroscience: Leveraging Distributional Robustness Sebastian Weichwald, University of Copenhagen; Jonas Peters, University of Copenhagen
4:50 PM	Testing Mediation Effects Using Logic of Boolean Matrices Lexin Li, University of California, Berkeley; Chengchun Shi, LSE
5:15 PM	Floor Discussion

68 !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances of Causal Inferences in Human Genetics — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Jingshen Wang, UC Berkeley; Chong Wu, Florida State University
Chair(s): Chong Wu, Florida State University
10:05 AM	Inferring Causal Direction Between Two Traits in the Presence of Invalid Instrumental Variables Haoran Xue, University of Minnesota; Wei Pan, University of Minnesota
10:30 AM	Testing for the Direction of Mediation in Genomics Studies James Dai, Fred Hutchinson Cancer Research Center; Heng Chen, Fred Hutchinson Cancer Research Center
10:55 AM	Debiased Inference in Mendelian Randomization After Selecting Among High-Dimensional Genetic Instruments Chong Wu, Florida State University; Jingshen Wang, UC Berkeley
11:20 AM	KnockoffScreen: A Powerful Method for the Identification of Putative Causal Loci in Whole-Genome Sequencing Data via Knockoff Statistics Iuliana Ionita-Laza, Columbia University; Zihuai He, Stanford University
11:45 AM	Floor Discussion

76 * !	Mon, 8/9/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Multivariate Analysis for Modern Scientific Studies and Application — Topic-Contributed Papers
Korean International Statistical Society, WNAR, Section on Statistical Learning and Data Science
Organizer(s): Yeonhee Park, University of Wisconsin
Chair(s): Min Jin Ha, University of Texas MD Anderson Cancer Center
10:05 AM	Pseudo Estimation and Variable Selection in Regression Wenbo Wu, University of Texas at San Antonio
10:25 AM	Response Variable Selection in Multivariate Linear Regression Zhihua Su, University of Florida
10:45 AM	Envelope-Based Partial Least Squares with Application to Cytokine-Based Biomarker Analysis for COVID-19 Yeonhee Park, University of Wisconsin; Zhihua Su, University of Florida; Dongjun Chung, Ohio State University
11:05 AM	Tensor Envelope Mixture Model for Simultaneous Clustering and Multiway Dimension Reduction Kai Deng, Florida State University; Xin Zhang, Florida State University
11:25 AM	A Comprehensive Bayesian Framework for Envelope Models Saptarshi Chakraborty, University at Buffalo; Zhihua Su, University of Florida
11:45 AM	Floor Discussion

151 * !	Tue, 8/10/2021, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Bayesian Approaches to Neuroimaging — Invited Papers
WNAR, Section on Statistics in Imaging, Section on Bayesian Statistical Science
Organizer(s): Aaron Wolfe Scheffler, University of California, San Francisco
Chair(s): Alec Chan-Golston, University of California, Merced
10:05 AM	Quantifying Heterogeneity in Brain Imaging Data donatello telesca, UCLA
10:30 AM	A Bayesian Regression Framework for Brain Imaging Data with Multiple Structural- and Network-Valued Predictors Aaron Wolfe Scheffler, University of California, San Francisco; Giovanni Battistella, Department of Neurology, University of California, San Francisco; Maria Luisa Mandelli, Department of Neurology, University of California, San Francisco; Maria Luisa Gorno-Tempini, Department of Neurology, University of California, San Francisco; Rajarshi Guhaniyogi, University of California, Santa Cruz
10:55 AM	Sketching in Bayesian High Dimensional Regressions with Big Data Rajarshi Guhaniyogi, University of California, Santa Cruz; Aaron Wolfe Scheffler, University of California, San Francisco
11:20 AM	Recent Advances in Bayesian Approaches to Neuroimaging Michele Guindani, University of California Irvine
11:45 AM	Floor Discussion

198 * !	Tue, 8/10/2021, 1:30 PM - 3:20 PM	Virtual
Highlights from STAT — Topic-Contributed Papers
International Statistical Institute, WNAR, Section on Statistical Learning and Data Science
Organizer(s): Hao Helen Zhang, University of Arizona
Chair(s): Hao Helen Zhang, University of Arizona
1:35 PM	Doubly Robust Estimation in Observational Studies with Partial Interference Lan Liu, University of Minnesota; Michael Hudgens, University of North Carolina; Bradley Saul, NoviSci; John Clemens, ICDDR; M Ali, Johns Hopkins; Mike Emch, University of North Carolina
1:55 PM	Set-Based Differential Covariance Testing for Genomics Yi-Hui Zhou, North Carolina State University
2:15 PM	Signal Dimension Estimation Using Principal Component Analysis Klaus Nordhausen, University of Jyväskylä; Joni Virta, University of Turku; Sara Taskinen, University of Jyväskylä
2:35 PM	Integrative Analysis of Longitudinal High-Dimensional Data with Time-Lagged Associations Yuping Zhang, University of Connecticut
2:55 PM	Flexible Clustering of High-Dimensional Data via Mixtures of Joint Generalized Hyperbolic Distributions Paul D McNicholas, McMaster University
3:15 PM	Floor Discussion

233 * !	Wed, 8/11/2021, 10:00 AM - 11:50 AM	Virtual
Evaluating Individualized Predictions of Risk and Benefit for Clinical Use — Topic-Contributed Papers
WNAR, Biometrics Section, ENAR
Organizer(s): Hormuzd Katki, National Cancer Institute
Chair(s): Debamita Kundu, NIH/NCI
10:05 AM	Model-Based ROC (MROC) Curve: Examining the Effect of Case-Mix and Model Calibration on the ROC Plot Presentation Mohsen Sadatsafavi, The University of British Columbia ; Paramita Saha-Chaudhuri, University of Vermont; John Petkau, The University of British Columbia
10:25 AM	Moving from Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained from Prevention Services Li C Cheung, US National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Hormuzd Katki, National Cancer Institute
10:45 AM	Using Stochastic Orders to Evaluate Performance of Predictive Models: Intransitivity, Area Under the ROC, and Strength of Stochastic Order Relationships Olga Demler, Harvard University
10:55 AM	Discussant: Gene Pennello, FDA
11:25 AM	Floor Discussion

297	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Recent Statistical Advances for Mobile Health — Invited Papers
Biometrics Section, ENAR, WNAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Zhenke Wu, University of Michigan, Ann Arbor
3:35 PM	Recurrent Event Analysis in the Presence of Real-Time High-Frequency Data via Random Subsampling Walter Dempsey, University of Michigan
3:50 PM	Regularized Greedy Gradient Q-Learning with Mobile Health Applications Min Qian, Columbia University
4:05 PM	Physical Activity Is the Strongest Modifiable Risk Factor for Mortality: A Short Story Based on NHANES and UK Biobank Data Ciprian Crainiceanu, Johns Hopkins University
4:20 PM	Safe learning methods for mHealth Eric Laber, Duke University
4:35 PM	Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach Nathan Kallus, Cornell University
4:50 PM	Scalar on time-by-distribution regression and its application to modelling cognitive function in Alzheimer's Disease Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
5:05 PM	Floor Discussion

301 * !	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Application of Asymmetric Classification and Multiple Testing — Invited Papers
WNAR, JBES-Journal of Business & Economic Statistics, Classification Society of North America
Organizer(s): Xin Tong, University of Southern California
Chair(s): Gareth James, University of Southern California
3:35 PM	Asymmetric Error Control Under Imperfect Supervision: A Label-Noise-Adjusted Neyman-Pearson Umbrella Algorithm Bradley Rava, University of Southern California; Shunan Yao, University of Southern California; Xin Tong, University of Southern California; Gareth James, University of Southern California
3:55 PM	Bridging Cost-Sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification Wei Vivian Li, Rutgers, The State University of New Jersey; Xin Tong, University of Southern California; Jingyi Jeessica Li, UCLA
4:15 PM	International Reserves, Risk Tolerance, and Crisis Risk Yang Feng, New York University; Xin Tong, University of Southern California; Weining Xin, International Monetary Fund
4:35 PM	Multiple Testing with Application to Mutual Fund Data Xu Han, Temple University; Lijia Wang, University of Southern California ; Xin Tong, University of Southern California
4:55 PM	Discussant: Jingyi Jeessica Li, UCLA
5:15 PM	Floor Discussion

311	Wed, 8/11/2021, 3:30 PM - 5:20 PM	Virtual
Inference, Prediction, and Statistical Learning for Functional Data — Topic-Contributed Papers
SSC (Statistical Society of Canada), Section on Statistical Computing, WNAR
Organizer(s): Adam B Kashlak, University of Alberta
Chair(s): Adam B Kashlak, University of Alberta
3:35 PM	A Reproducing Kernel Hilbert Space Framework for Functional Data Classification Peijun Sang, University of Waterloo
4:00 PM	Functional Random Effects Modeling of Brain Shape and Connectivity Eardi Lila, University of Washington; John Aston, University of Cambridge
5:15 PM	Floor Discussion

342 * !	Thu, 8/12/2021, 10:00 AM - 11:50 AM	Virtual
Measurement Challenges and Innovations in Cognitive Aging and Dementia Research: Progress from the MEthods for LOngitudinal Studies of DEMentia (MELODEM) Initiative — Topic-Contributed Papers
Section on Statistics in Epidemiology, WNAR, ENAR
Organizer(s): Crystal Shaw, UCLA Fielding School of Public Health
Chair(s): Shubhabrata Mukherjee, University of Washington
10:05 AM	Co-Calibrating Cognitive Scores Across Multiple Studies of Dementia Laura Gibbons, University of Washington; Paul K Crane, University of Washington; Shubhabrata Mukherjee, University of Washington
10:25 AM	Co-Calibration of Cognitive Functioning Domains Across Different Countries When There Are No Common Linking Items Alden Gross, Johns Hopkins Bloomberg School of Public Health; Emma L Nichols, Johns Hopkins Bloomberg School of Public Health
10:45 AM	A Bayesian latent class mixture modeling framework for algorithmic dementia classification in population-representative studies Crystal Shaw, UCLA Fielding School of Public Health; donatello telesca, UCLA; Elizabeth Rose Mayeda, UCLA FSPH; Thomas R. Belin, UCLA FSPH
11:05 AM	Sensitivity Analysis for Nonignorable Missingness and Outcome Misclassification from Proxy Reports Michelle Shardell, University of Maryland School of Medicine
11:25 AM	Integrating Latent Variable Modeling, Statistical Learning, and Inverse Propensity Score Weighting to Identify Longitudinal Trajectory Phenotypes and the Underlying Disparity Presentation Chen-Pin Wang, University of Texas Health Science Center San Antonio; Mitzi M Gonzales, University of Texas Health Science Center San Antonio; Helen Hazuda, University of Texas Health Science Center San Antonio; Sudha Seshadri, University of Texas Health Science Center San Antonio
11:45 AM	Floor Discussion

364 * !	Thu, 8/12/2021, 12:00 PM - 1:50 PM	Virtual
Network Science: Statistical Approaches and Beyond — Invited Papers
WNAR, IMS, JBES-Journal of Business & Economic Statistics
Organizer(s): Rachel Wang, University of Sydney
Chair(s): Purnamrita Sarkar, University of Texas, Austin
12:05 PM	Nearly-Optimal Prediction of Missing Links in Networks via Stacking Presentation Aaron Clauset, University of Colorado Boulder
12:30 PM	Scientific Impact of Statistical Theory and Methodology via Citation Network Analysis Xin Tong, University of Southern California; Lijia Wang, University of Southern California ; Rachel Wang, University of Sydney
12:55 PM	Social Learning: Degree-Weighted Updating and Convergence Speed Yiqing Xing, Johns Hopkins University; Xin Tong, University of Southern California; Xiao Han, University of Science and Technology of China; Yusheng Wu, University of Southern California
1:20 PM	Discussant: Peter Bickel, University of California, Berkeley
1:40 PM	Floor Discussion

398 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Statistical and Computational Methods to Tackle Complex Diagnostic Challenges — Invited Papers
WNAR
Organizer(s): Jing Huang, Veracyte Inc
Chair(s): Ying Lu , Stanford University
2:05 PM	Stage Shift and Mortality Reduction by Screening with a Multi-Cancer Early-Detection Test: Microsimulation Modeling of a Randomized Controlled Trial Jing Zhang, Grail Inc.; Jerome Braun, Independent Statistical Consultant; Noah Simon, University of Washington; Earl Hubbell, Grail Inc; Nan Zhang, Grail Inc
2:30 PM	Making Smart Clinical Decisions with Genomic Data and Machine Learning: An Example of Lung Cancer Diagnosis Jianghan Qu, Veracyte; Shuyang Wu, Veracyte; Lori Lofaro, Veracyte; Joshua Babiarz, Veracyte; Sangeeta Bhorade, Veracyte; Sean Walsh, Veracyte; Giulia Kennedy, Veracyte; Jing Huang, Veracyte Inc
2:55 PM	Information-Theoretic Classification Accuracy: A Data-Driven Approach to Combining Ambiguous Outcome Labels Jingyi Jeessica Li, UCLA
3:20 PM	Discussant: Lu Tian, Stanford University
3:45 PM	Floor Discussion

408 * !	Thu, 8/12/2021, 2:00 PM - 3:50 PM	Virtual
Modeling Visitation of Public Lands and Analyzing Visitors’ Sentiments Using Social Media — Topic-Contributed Papers
Section on Statistics and the Environment, WNAR, Section on Statistical Learning and Data Science
Organizer(s): Kimihiro Noguchi, Department of Mathematics, Western Washington University
Chair(s): Ramadha Piyadi Gamage, Western Washington University - Mathematics
2:05 PM	Modeling Recreation on Public Lands Using Social Media and Crowd-Sourced Data Samantha Winder, University of Washington; Emmi Lia, University of Washington; Lesley Miller, University of Washington; Spencer Wood, eScience Institute, University of Washington
2:25 PM	Modeling and Forecasting Percent Changes in National Park Visitation Using Social Media Russell J Goebel, Department of Mathematics & Statistics, Boston University
2:45 PM	Natural Environments and Sentiment Expressed on Twitter Yian Lin, University of Washington; Joshua Lawler, University of Washington
3:05 PM	Discussant: Spencer Wood, eScience Institute, University of Washington
3:25 PM	Discussant: Kimihiro Noguchi, Department of Mathematics, Western Washington University
3:45 PM	Floor Discussion

428 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Design Considerations for COVID-19 Prevention Studies — Invited Papers
Biometrics Section, Section on Statistics in Epidemiology, WNAR
Organizer(s): Sahar Z Zangeneh, Fred Hutchinson Cancer Research Center
Chair(s): Holly Janes, Fred Hutchinson Cancer Research Center
4:05 PM	Design of Non-Vaccine COVID-19 Prevention Studies Elizabeth Brown, Fred Hutchinson Cancer Research Center
4:30 PM	Design Considerations for COVID-19 Prevention Studies Sahar Z Zangeneh, Fred Hutchinson Cancer Research Center; Timothy Skalland, Fred Hutchinson Cancer Research Center; Krista Yuhas, Fred Hutchinson Cancer Research Center; Deborah Donnell, Fred Hutchinson Cancer Research Center
4:55 PM	Efficacy Comparison of COVID-19 Vaccine Candidates Alex Luedtke, University of Washington; Tzu-Jung Huang, University of Washington
5:20 PM	Discussant: Nicholas Jewell, University of California Berkely
5:45 PM	Floor Discussion

436 * !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Network Inference for Omics and Imaging Data — Topic-Contributed Papers
Section on Statistical Learning and Data Science, WNAR, Biometrics Section
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Jianhua Hu, Columbia University
4:05 PM	Modern Machine Learning Techniques in Biology Johannes Lederer, Ruhr-University Bochum
4:25 PM	Generalized Tensor Canonical Correlation Analysis for Network Inference Using Multi-Omics Data Katerina Kechris, University of Colorado Anschutz Medical Campus; Weixuan Liu, University of Colorado Anschutz Medical Campus; Farnoush Banaei-Kashani, University of Colorado Denver
4:45 PM	Prediction with Network Valued Covariates Suprateek Kundu, Emory University
5:05 PM	Principal Regression for High-Dimensional Covariance Matrices Yi Zhao, Indiana University; Brian Caffo, Johns Hopkins University; Xi Luo, The University of Texas Health Science Center at Houston
5:25 PM	Data Harmonization Using Polycistronic Clusters for MicroRNA Sequencing Data Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Yannick Düren, Ruhr-University Bochum; Johannes Lederer, Ruhr-University Bochum
5:45 PM	Floor Discussion

JSM 2021 Online Program

Activity Details

American Statistical Association