Name: 2022 Joint Statistical Meetings
Start: 2022-08-06T07:00:00+00:00
End: 2022-08-11
Location: Walter E. Washington Convention Center

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CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme

Activity Details

100 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-150B
Cross Trial Borrowing in Drug Development: The Promising Potentials — Topic Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Section on Risk Analysis
Organizer(s): Qian Li, Statistics and Data Corporation
Chair(s): Qian Li, Statistics and Data Corporation
8:35 AM	Borrowing Information of a Surrogate Endpoint for Planning a Phase III Study Hui Quan, Sanofi; Zhixing Xu, Sanofi; Gautier Paux, Sanofi; Meehyung Cho, Sanofi; Xun Chen, Sanofi
8:55 AM	Implementation of Enrichment Designs in Platform Settings Yeh-Fong Chen, Food and Drug Administration ; Feiran Jiao, FDA
9:15 AM	Type I Error Control Strategies Using a Conditional Hybrid Control in Randomized Clinical Trials Hongyan Li, Statistics & Data Corporation ; Qian Li, Statistics and Data Corporation; Adam Hamm, Statistics & Data Corporation
9:35 AM	Discussant: Thomas Gwise, FDA/CDER
9:55 AM	Discussant: Qing Liu
10:15 AM	Floor Discussion

112 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-140B
Risk Analysis in Environment and Health — Contributed Papers
Section on Risk Analysis
Chair(s): Fazlur Rahman, The University of Alabama at Birmingham
8:35 AM	Partially Interpretable Neural Networks for High-Dimensional Extreme Quantile Regression: With Application to U.S. Wildfires Jordan Richards, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
8:50 AM	Partial Tail Correlation Coefficient Applied to Extremal Network Learning Yan Gong, KAUST; Raphael Huser, King Abdullah University of Science and Technology (KAUST)
9:05 AM	Reducing Sample Size Through Incorporation of Historical Experimental Outcomes in Reproductive Aquatic Toxicity Experiments Jing Zhang, Miami University; A. John Bailer, Miami University; Byran J Smucker, Miami University
9:20 AM	Risk Prediction for Partially Heterogeneous Subgroups via Fusion Eun Jeong Oh, University of Pennsylvania; Runze Li, Penn State University; Ravi B. Parikh, University of Pennsylvania; Jinbo Chen, University of Pennsylvania
9:35 AM	Semiparametric Isotonic Regression Analysis for Risk Assessment Under Nested Case-Control and Case-Cohort Designs Wen Li, The University of Texas Health Science Center McGovern Medical School; Ruosha Li, The University of Texas Health Science Center at Houston; Jing Ning, UT MD Anderson Cancer Center; Ziding Feng, Fred Hutchinson Cancer Research Center
9:50 AM	Asymptotic Properties of AUC Under the Null in the Training-Test Setting: Assessing AUC Change for Polygenic Risk Scores and Machine Learning Risk Prediction Models Olga Demler, Harvard University
10:05 AM	Floor Discussion

122 *	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-143C
Analysis of Extreme Events — Invited Papers
Section on Risk Analysis, Section on Statistics and the Environment, IMS
Organizer(s): John P Nolan, American University
Chair(s): Elena Rantou, Food and Drug Administration
10:35 AM	Extreme Value Analysis for Financial Risk Management Natalia Nolde, University of British Columbia
11:00 AM	Dependence Between Extremes of Satellite and Ground Station Precipitation Brook T Russell, Clemson University School of Mathematical and Statistical Sciences; Whitney Huang, Clemson University; Yiren T Ding, Clemson University School of Mathematical and Statistical Sciences; Jamie Dyer, Mississippi State University
11:25 AM	Statistical Frameworks to Study Climate Extremes in a Detection and Attribution Context Brian James Reich, North Carolina State University; Zun Yin, NCSU; Paula Gonzalez, Lab. des Sciences du Climat et de l'Environnement; Philippe Naveau, Laboratoire des Sciences du Climat et de l’Environnement
11:50 AM	Signal Processing in the Presence of Heavy-Tailed Extremes John P Nolan, American University
12:15 PM	Floor Discussion

237	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-203AB
Graphical Models and Causality in Extremes — Topic Contributed Papers
Section on Risk Analysis, Royal Statistical Society, IMS
Organizer(s): Chen Zhou, Erasmus University Rotterdam
Chair(s): Natalia Nolde, University of British Columbia
8:35 AM	Total Positivity in Multivariate Extremes Piotr Zwiernik, University of Toronto; Frank Röttger, Université de Genève; Sebastian Engelke, Université de Genève
8:55 AM	Penalization-Based Inference for Extremal Graphical Models Presentation Michael Lalancette, University of Toronto; Sebastian Engelke, Université de Genève; Stanislav Volgushev, University of Toronto
9:15 AM	Fast Algorithm for Extreme Graphical Models Chen Zhou, Erasmus University Rotterdam; Phyllis Wan, Erasmus University Rotterdam
9:35 AM	Causal Structure Learning in Heavy-Tailed Models Nicola Gnecco, University of Geneva; Sebastian Engelke, Université de Genève; Simon Chatelain, University of Geneva; Stanislav Volgushev, University of Toronto
9:55 AM	Discussant: Sebastian Engelke, Université de Genève
10:15 AM	Floor Discussion

380	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-158AB
Advances in Bayesian Extreme Value Analysis — Topic Contributed Papers
Section on Bayesian Statistical Science, Section on Statistics and the Environment, Section on Risk Analysis
Organizer(s): Benjamin Shaby, Colorado State University
Chair(s): Benjamin Shaby, Colorado State University
8:35 AM	Approximating Likelihoods for Extreme Value Analysis with Deep Learning Reetam Majumder, North Carolina State University; Brian James Reich, North Carolina State University; Benjamin Shaby, Colorado State University
8:55 AM	Spatial Scale-Aware Tail Dependence Modeling for High-Dimensional Spatial Extremes Likun Zhang, Lawrence Berkeley National Laboratory; Mark Risser, Lawrence Berkeley National Laboratory; Benjamin Shaby, Colorado State University
9:15 AM	Spatiotemporal Wildfire Modeling Through Point Processes with Moderate and Extreme Marks Jonathan Koh, University of Bern; François Pimont, INRAe; Jean-Luc Dupuy, INRAe; Thomas Opitz, INRAe
9:35 AM	A Flexible Bayesian Hierarchical Modeling Framework for Spatially Dependent Peaks-Over-Threshold Data Presentation Rishikesh Yadav, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Thomas Opitz, INRAe
9:55 AM	Interpolation of Precipitation Extremes on a Large Domain Toward IDF Curve Construction at Unmonitored Locations Jonathan Jalbert, Polytechnique Montréal; Christian Genest, McGill University; Luc Perreault, Hydro-Québec; Paul Mathivon, Polytechnique Montréal
10:15 AM	Floor Discussion

385	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-140A
SPEED: Statistical Methods and Applications in Medical Research, Risk Analysis, and Marketing Part 1 — Contributed Speed
Biopharmaceutical Section, Section on Medical Devices and Diagnostics, Section on Statistics in Imaging, IMS, International Chinese Statistical Association, Section on Risk Analysis, Section on Statistics in Marketing
Chair(s): Michael Higgins, Kansas State University
8:35 AM	Near Real-Time Surveillance of COVID-19 Vaccine Safety in the U.S. Food and Drug Administration Biologics Effectiveness and Safety (BEST) Initiative Data Network Mao Hu, Acumen LLC; Patricia Lloyd, US Food and Drug Administration; Cindy Ke Zhou, US Food and Drug Administration; An-Chi Lo, Acumen LLC; Yoganand Chillarige, Acumen LLC; John Hornberger, Acumen LLC; Jeffrey Kelman, Centers for Medicare & Medicaid Services; Anne Marie Kline, Aetna; Cheryl N McMahill-Walraven, Aetna; Kandace L. Amend, Optum Epidemiology; John D Seeger, Optum Epidemiology; Daniel Beachler, HealthCore, Inc.; Alex Secora, IQVIA; Christian Reich, IQVIA; Azadeh Shoaibi, US Food and Drug Administration; Hui Lee Wong, US Food and Drug Administration; Steven Anderson, US Food and Drug Administration
8:40 AM	Integration of Efficacy Biomarkers Together with Toxicity Endpoints in Immuno-Oncology Dose Finding Studies Yiding Zhang, Sanofi; Zhixing Xu, Sanofi; Ji Lin, Sanofi; Hui Quan, Sanofi
8:45 AM	Practical Implementation of Randomization in a Complex Site-Level Stepped-Wedge Cluster Pragmatic Randomized Trial Wen Wan, Section of General Internal Medicine, University of Chicago; Linda Rosul, Access community health network; Theodore Karrison, University of Chicago; Neda Laiteerapong, Section of General Internal Medicine, University of Chicago
8:50 AM	A Two-Stage Method to Minimize the Expected Sample Size of a Single-Arm Study Under the Alternative Hypothesis Xiaobo Zhong, Bristol Myers Squibb; Qian Li, Biostatistics and Strategic Consulting
8:55 AM	Improving Dose-Escalation Design with Historical and Concurrent Trial Data Abhishek Kumar Dubey, Bristol Myer Squibb; Arun Kumar Kumar, Bristol Myer Squibb; Kaushal Kumar Mishra, Bristol Myer Squibb
9:00 AM	BGLAM: A Bayesian General Logistic Autoregressive Model for Correlated Binary Outcomes Ahmad Hakeem Abdul Wahab, Janssen Pharmaceuticals; Arman Sabbaghi, Purdue University; Maggie O'Haire, Purdue University
9:05 AM	Practical Guidance on Mixture Priors Specification in Oncology Dose Escalation Models Frank Shen, Bristol Myers Squibb; Yanping Chen, Bristol Myers Squibb; Rong Liu, BMS
9:10 AM	Overlap Weight-Based Adaptive Bayesian Commensurate Prior for Augmenting the Control Arm of a Randomized Controlled Trial Yeonil Kim, Merck & Co., Inc. ; Erina Paul, Merck & Co., Inc.
9:15 AM	Power Analysis for Longitudinal Cluster Randomized Trials with Binary Outcomes Jijia Wang, UT Southwestern Medical Center
9:20 AM	Association of COVID Vaccine Hesitancy and Vaccine Misinformation Using Google Trends Analytics Vaccine Hesitancy Lan Gao, The University of Tennessee at Chattanooga
9:30 AM	Extending the Weighted Generalized Score Statistic for Comparison of Correlated Means Aaron D. Jones, Duke University; Andrzej S. Kosinski, Duke University
9:35 AM	Can Cutaneous Squamous Cell Carcinoma Be Properly Graded? Investigation of the Differentiation Grading Among Dermatopathologists Yevgeniya Gokun, The Ohio State University; Xueliang Pan, The Ohio State University; David Carr, The Ohio State University; Katie Shahwan, The Ohio State University; Jessica Nash, The Ohio State University
9:45 AM	Homogeneity Test for Ordinal ROC Regression and Application to Facial Recognition Ty Nguyen, University of Central Florida; Larry Tang, University of Central Florida
9:50 AM	Club Exco: Clustering Brain Extreme Communities from Multi-Channel EEG Data Matheus Bartolo Guerrero, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Hernando Ombao, King Abdullah University of Science and Technology
9:55 AM	Large-Scale Correlation Screening Under Dependence for Brain Functional Connectivity Inference Hanâ LBATH, Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK; Alexander Petersen, Brigham Young University; Sophie ACHARD, Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK
10:00 AM	Correcting Under-Reporting in Cyber Incidents Seema Sangari, Kennesaw State University; Eric Dallal, Verisk
10:05 AM	Outcome-Dependent Sampling on Posterior Estimates of Salesperson Rankings Neil Mercer, Google LLC; Frank Yoon, Google LLC; Ignacio Martinez, Google LLC
10:10 AM	A Framework for Measuring Influencer Marketing Gary Cohen, Amazon.com; Vanja Dukic, Amazon.com

10:15 AM	Floor Discussion

401 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-150B
Real-World Survival Data with Multiple Events: Challenges, Opportunities, and Recent Advancements — Invited Papers
Lifetime Data Science Section, Section on Risk Analysis, Biometrics Section
Organizer(s): Ruosha Li, The University of Texas Health Science Center at Houston
Chair(s): Ruosha Li, The University of Texas Health Science Center at Houston
10:35 AM	Heterogeneous Recurrent Event Analysis Based on Latent Classes Wei Zhao, Emory University; Limin Peng, Emory University; John Hanfelt, Emory University
11:00 AM	Real-World Survival Data with Multiple Events: Challenges, Opportunities, and Recent Advances Ross Laverne Prentice, Fred Hutchinson Cancer Research Center
11:25 AM	Inference for Recurrent Event Processes Under Shape Heterogeneity Yifei Sun, Columbia University; Ying Sheng, University of California San Fransisco
11:50 AM	Dependent Censoring Based on Copulas Ingrid Van Keilegom, KU Leuven; Claudia Czado, Technical University of Munich
12:15 PM	Floor Discussion

419 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-101
Section on Risk Analysis Student Paper Award Session — Topic Contributed Papers
Section on Risk Analysis
Organizer(s): Alexander V. Alekseyenko, Medical University of South Carolina
Chair(s): Hongmei Zhang, University of Memphis
10:35 AM	Modeling Time-to-Event Contingent Cash Flows: A Discrete-Time Survival Analysis Approach Presentation Jackson Lautier, University of Connecticut; Jun Yan, University of Connecticut; Vladimir Pozdnyakov, University of Connecticut
10:55 AM	Joint Inference of Competing Risks Data Using Multiple Endpoints Jiyang Wen, Johns Hopkins Bloomberg School of Public Health; Chen Hu, Johns Hopkins School of Medicine; Mei-Cheng Wang, Johns Hopkins Bloomberg School of Public Health
11:15 AM	Evaluating Dynamic Discrimination Performance of Risk Prediction Models for Survival Outcomes Jing Zhang, The University of Texas Health Science Center at Houston; Jing Ning, UT MD Anderson Cancer Center; Ruosha Li, The University of Texas Health Science Center at Houston
11:35 AM	Hard Landing Analysis by Transfer Learning for High-Dimensional Quantile Regression Jun Jin, University of Connecticut; Kun Chen, University of Connecticut; Jun Yan, University of Connecticut
11:55 AM	Tlife-GDN: Detecting and Forecasting Spatio-Temporal Anomalies via Persistent Homology and Geometric Deep Learning Zhiwei Zhen, University of Texas at Dallas; Yuzhou Chen, Princeton University; Ignacio Segovia Dominguez , Unviersity of Texas at Dallas; Yulia Gel, University of Texas at Dallas
12:15 PM	Floor Discussion

443	Wed, 8/10/2022, 10:30 AM - 11:15 AM	CC-Hall D
SPEED: Statistical Methods and Applications in Medical Research, Risk Analysis, and Marketing Part 2 — Contributed Poster Presentations
Biopharmaceutical Section, Section on Medical Devices and Diagnostics, Section on Statistics in Imaging, IMS, International Chinese Statistical Association, Section on Risk Analysis, Section on Statistics in Marketing
Chair(s): Michael Higgins, Kansas State University
01:	Near Real-Time Surveillance of COVID-19 Vaccine Safety in the U.S. Food and Drug Administration Biologics Effectiveness and Safety (BEST) Initiative Data Network Mao Hu, Acumen LLC; Patricia Lloyd, US Food and Drug Administration; Cindy Ke Zhou, US Food and Drug Administration; An-Chi Lo, Acumen LLC; Yoganand Chillarige, Acumen LLC; John Hornberger, Acumen LLC; Jeffrey Kelman, Centers for Medicare & Medicaid Services; Anne Marie Kline, Aetna; Cheryl N McMahill-Walraven, Aetna; Kandace L. Amend, Optum Epidemiology; John D Seeger, Optum Epidemiology; Daniel Beachler, HealthCore, Inc.; Alex Secora, IQVIA; Christian Reich, IQVIA; Azadeh Shoaibi, US Food and Drug Administration; Hui Lee Wong, US Food and Drug Administration; Steven Anderson, US Food and Drug Administration
02:	Dose Finding via Efficacy Biomarkers and Toxicity Endpoints in Immuno-Oncology Clinical Trials Yiding Zhang, Sanofi; Zhixing Xu, Sanofi; Ji Lin, Sanofi; Hui Quan, Sanofi
03:	Practical Implementation of Randomization in a Complex Site-Level Stepped-Wedge Cluster Pragmatic Randomized Trial Wen Wan, Section of General Internal Medicine, University of Chicago; Linda Rosul, Access community health network; Theodore Karrison, University of Chicago; Neda Laiteerapong, Section of General Internal Medicine, University of Chicago
04:	A Two-Stage Method to Minimize the Expected Sample Size of a Single-Arm Study Under the Alternative Hypothesis Xiaobo Zhong, Bristol Myers Squibb; Qian Li, Biostatistics and Strategic Consulting
05:	Improving Dose-Escalation Design with Historical and Concurrent Trial Data Abhishek Kumar Dubey, Bristol Myer Squibb; Arun Kumar Kumar, Bristol Myer Squibb; Kaushal Kumar Mishra, Bristol Myer Squibb
06:	BGLAM: A Bayesian General Logistic Autoregressive Model for Correlated Binary Outcomes Ahmad Hakeem Abdul Wahab, Janssen Pharmaceuticals; Arman Sabbaghi, Purdue University; Maggie O'Haire, Purdue University
07:	Practical Guidance on Mixture Priors Specification in Oncology Dose Escalation Models Frank Shen, Bristol Myers Squibb; Yanping Chen, Bristol Myers Squibb; Rong Liu, BMS
08:	Overlap Weight-Based Adaptive Bayesian Commensurate Prior for Augmenting the Control Arm of a Randomized Controlled Trial Yeonil Kim, Merck & Co., Inc. ; Erina Paul, Merck & Co., Inc.
09:	Power Analysis for Longitudinal Cluster Randomized Trials with Binary Outcomes Jijia Wang, UT Southwestern Medical Center
10:	Association of COVID Vaccine Hesitancy and Vaccine Misinformation Using Google Trends Analytics Vaccine Hesitancy Lan Gao, The University of Tennessee at Chattanooga
11:	Extending the Weighted Generalized Score Statistic for Comparison of Correlated Means Aaron D. Jones, Duke University; Andrzej S. Kosinski, Duke University
12:	Can Cutaneous Squamous Cell Carcinoma Be Properly Graded? Investigation of the Differentiation Grading Among Dermatopathologists Yevgeniya Gokun, The Ohio State University; Xueliang Pan, The Ohio State University; David Carr, The Ohio State University; Katie Shahwan, The Ohio State University; Jessica Nash, The Ohio State University
13:	Evaluation of Patient-Reported Outcomes Using Kappa Statistics Saryet Kucukemiroglu, Food and Drug Administration; Manasi Sheth, Food and Drug Administration
14:	Statistical Considerations When Evaluating Diagnostic Devices with Categorical Output Manasi Sheth, Food and Drug Administration
15:	Homogeneity Test for Ordinal ROC Regression and Application to Facial Recognition Ty Nguyen, University of Central Florida; Larry Tang, University of Central Florida
16:	Club Exco: Clustering Brain Extreme Communities from Multi-Channel EEG Data Matheus Bartolo Guerrero, King Abdullah University of Science and Technology; Raphael Huser, King Abdullah University of Science and Technology (KAUST); Hernando Ombao, King Abdullah University of Science and Technology
17:	Large-Scale Correlation Screening Under Dependence for Brain Functional Connectivity Inference Hanâ LBATH, Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK; Alexander Petersen, Brigham Young University; Sophie ACHARD, Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK
18:	Correcting Under-Reporting in Cyber Incidents Seema Sangari, Kennesaw State University; Eric Dallal, Verisk
19:	Outcome-Dependent Sampling on Posterior Estimates of Salesperson Rankings Neil Mercer, Google LLC; Frank Yoon, Google LLC; Ignacio Martinez, Google LLC
20:	A Framework for Measuring Influencer Marketing Gary Cohen, Amazon.com; Vanja Dukic, Amazon.com

463 * !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-206
Recent Innovations in Method Developments for Risk-Based Screening and Health Policy Modeling for Cancer — Invited Papers
Section on Risk Analysis, Health Policy Statistics Section, Korean International Statistical Society
Organizer(s): Eunji Choi, Stanford University School of Medicine
Chair(s): Eunji Choi, Stanford University School of Medicine
2:05 PM	Incorporating Polygenic Risk Scores into Health Screening John Witte, Stanford University
2:30 PM	From DNA to Decision: Will Germline Genomic Risk Fulfill Its Promise? Ruth Etzioni, Fred Hutch Cancer Research Center
2:55 PM	Evidence-Based Screening Criteria for Second Primary Lung Cancer Using a Risk Prediction Model for Lung Cancer Survivors Summer S Han, Stanford University; Eunji Choi, Stanford University School of Medicine; Sophia Luo, Stanford University; Heather Wakelee, Stanford University
3:20 PM	Risk-Based Selection of Individuals for Oral Cancer Screening Li C Cheung, National Cancer Institute, Division of Cancer Epidemiology and Genetics
3:45 PM	Floor Discussion

223828	Wed, 8/10/2022, 5:00 PM - 6:30 PM	M-Judiciary Square
Section on Risk Analysis Business Meeting — Other Cmte/Business
Section on Risk Analysis
Chair(s): Alexander V. Alekseyenko, Medical University of South Carolina

512 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-204B
Risk Assessment for Autonomous Vehicles — Topic Contributed Papers
Transportation Statistics Interest Group, Section on Physical and Engineering Sciences, Section on Risk Analysis
Organizer(s): David Banks, Duke University
Chair(s): David Banks, Duke University
8:35 AM	Planning a Drive: Autonomous Vehicles and the Role of Statisticians Maria A Terres, Waymo
8:55 AM	Modeling Testable-Case Space for Automated Driving Systems Feng Guo, Virginia Tech
9:15 AM	Data as the Lifeblood of the Transportation System of the Future Robert Heilman, US Dept. of Transportation-Highly Automated Systems Safety Center of Excellence (HASS COE)
9:35 AM	Generative Models for Vehicle Speed Trajectories Vadim Sokolov, George Mason University
9:55 AM	Discussant: Linda Ng Boyle, University of Washington
10:15 AM	Floor Discussion

534 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-158AB
Tradeoff Between Risks and Benefits When Transporting Model Under Distribution Shift — Invited Papers
ENAR, Section on Risk Analysis, Health Policy Statistics Section
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Jiwei Zhao, University of Wisconsin-Madison
10:35 AM	Learning by Combining Data from Multiple Sources: Causal Assumptions, Study Design, Sampling Properties, and Estimation Issa J. Dahabreh, Harvard University
11:00 AM	Some Results on Label Shift and Label Noise Zachary Chase Lipton, Carnegie Mellon University
11:25 AM	Generalizable Prediction of Ultrafine Particle Concentration Using Combined Multi-Site Measurements Prasad Patil, Boston University School of Public Health; Sean Mueller, Boston University School of Public Health; Neelakshi Hudda, Tufts University; John Durant, Tufts University; Jon Levy, Boston University School of Public Health; Kevin Lane, Boston University School of Public Health
11:50 AM	Leveraging Observational Outcomes to Improve the Generalizability of Experimental Results Melody Huang, University of California, Berkeley; Naoki Egami, Columbia University; Erin Hartman, University of California, Berkeley; Luke Miratrix, Harvard University
12:15 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association