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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All Times EDT

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

Activity Details

5 *	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-201
Innovations in Digital Pathology and Spatial Transcriptomics: Statistical Challenges and Major Impacts — Invited Papers
International Chinese Statistical Association, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Himel Mallick, Merck Research Laboratories
Chair(s): Richard Baumgartner, Merck Research Laboratories
2:05 PM	Multi-Scale and Multi-Sample Analysis Enables Accurate Cell Type Clustering and Spatial Domain Detection in Spatial Transcriptomics Zheng Li, University of Michigan; Xiang Zhou, University of Michigan
2:25 PM	IHC Guided Deep Learning Myeloid Cell Detection Model Using HandE Data Jeong Hwan Kook, Merck Research Laboratories
2:45 PM	Bayesian Modeling of Spatial Molecular Profiling Data Qiwei Li, The University of Texas at Dallas; Xi Jiang, Southern Methodist University; Minzhe Zhang, The University of Texas Southwestern Medical Center; Guanghua Xiao, The University of Texas Southwestern Medical Center
3:05 PM	A User-Friendly Tool for Cloud-Based, Whole-Slide Image Segmentation with Applications to Renal Histopathology Pinaki Sarder, University at Buffalo
3:25 PM	Biomarker Discovery in Spatial Transcriptomics and Digital Pathology Himel Mallick, Merck Research Laboratories
3:45 PM	Floor Discussion

22 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-143B
Statistical Learning in Cancer Medicine: From Early-Phase Trials to Preclinical Systems — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:05 PM	Hybrid Designs Using Concurrent Randomized Controls and Historical Evidence Mithat Gonen, Memorial Sloan Kettering Cancer Center
2:25 PM	A Review of Bayesian Early-Phase Clinical Trials in Cancer Research Hao Liu, Rutgers University
2:45 PM	Treatment Response Data for Patient-Derived Xenografts Michael Lloyd, The Jackson Laboratory; Soner Koc, Seven Bridges Genomics; Anuj Srivastava, The Jackson Laboratory; Vivek Philip, The Jackson Laboratory; Tim Stearns, The Jackson Laboratory; Carol Bult, The Jackson Laboratory; Yvonne Evrard, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research; Jeffrey Moscow, Investigational Drug Branch, National Cancer Institute; Funda Meric-Bernstam, The University of Texas MD Anderson Cancer Center; Dennis Dean, Seven Bridges Genomics; Jeffrey H. Chuang, The Jackson Laboratory for Genomic Medicine
3:05 PM	Probabilistic Learning of Treatment Trees in Cancer Veera Baladandayuthapani, University of Michigan; Tsung-Hung Yao, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Karthik Bharath, University of Nottingham
3:25 PM	Discussant: Lisa McShane, National Cancer Institute
3:45 PM	Floor Discussion

38 !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-144B
Recent Advances in Adaptive Treatment Strategy Estimation — Invited Papers
Section on Statistics in Epidemiology, International Chinese Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Ai Ni, The Ohio State University
Chair(s): Yuan Chen, Memorial Sloan Kettering Cancer Center
4:05 PM	Adaptive Respondent-Driven Sampling Eric Laber, Duke University; Justin Weltz, Duke University; Alex Volfovsky, Duke University
4:30 PM	Ranking Tailoring Variables for Constructing Individualized Treatment Rules Jiacheng Wu, University of Washington; Nina Galanter, University of Washington; Susan M Shortreed, Kaiser Permanente Washington Health Research Institute; Erica EM Moodie, McGill University
4:55 PM	Contrast-Based Optimal Treatment Rule Estimation with Composite Survival Data Ai Ni, The Ohio State University; Xiaohan Guo, The Ohio State University
5:20 PM	Discussant: Yuanjia Wang, Columbia University
5:40 PM	Floor Discussion

223624	Sun, 8/7/2022, 6:00 PM - 8:30 PM	M-Archives
ICSA Board Meeting — Other ICW
International Chinese Statistical Association
Organizer(s): Mengling Liu, NYU Langone Health

82 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-152A
New Statistical Methods for Survival Analysis in Complex Biomedical Studies — Invited Papers
Lifetime Data Science Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Qingning Zhou, University of North Carolina at Charlotte
Chair(s): Qingning Zhou, University of North Carolina at Charlotte
8:35 AM	Support Vector Machine for Dynamic Survival Prediction with Time-Dependent Covariates Wenyi Xie, University of North Carolina; Donglin Zeng, University of North Carolina; Yuanjia Wang, Columbia University
9:00 AM	Some Recent Advances on Variable Selection for Interval-Censored Failure Time Data (Tony) Jianguo J Sun, UNIVERSITY OF MISSOURI-COLUMBIA
9:25 AM	Spatial Dependence Modeling of Latent Susceptibility and Time to Joint Damage in Psoriatic Arthritis Fangya Mao, University of Waterloo; Richard Cook, University of Waterloo
9:50 AM	Feature Screening for Case-Cohort Studies with Failure Time Outcome Jianwen Cai, University of North Carolina at Chapel Hill; Jing Zhang, Zhongnan University of Economics and Law; Yanyan Liu, Wuhan University; Haibo Zhou, University of North Carolina at Chapel Hill
10:15 AM	Floor Discussion

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

117 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-143C
Statistica Sinica Special Invited Papers on Causal Inference — Invited Papers
International Chinese Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Xiaotong Shen, University of Minnesota
Chair(s): Rong Chen, Rutgers University
10:35 AM	Robust Inference of Conditional Average Treatment Effects Using Dimension Reduction Ming-Yueh Huang, Academia Sinica
11:15 AM	A Generalized Heteroscedastic Gaussian Process Model Jun Liu, Harvard University
11:55 AM	Floor Discussion

136 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-144C
Recent Advances in Clustered Time-to-Event Data — Topic Contributed Papers
Lifetime Data Science Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Mei-Ling Ting Lee, University of Maryland
Chair(s): (Tony) Jianguo J Sun, UNIVERSITY OF MISSOURI-COLUMBIA
10:35 AM	On the Analysis of Clustered Survival Data DAVID OAKES, University of Rochester,
10:55 AM	Estimation and Testing for Clustered Bivariate Survival Databased on an Interval-Censored Version of the Clayton-Oakes Model Bernard Rosner, Harvard Medical School; Camden Bay, Harvard Medical School; Robert Glynn, Harvard Medical School; Gui-Shuang Ying, University of Pennsylvania; Maureen Maguire, University of Pennsylvania; Mei-Ling Ting Lee, University of Maryland
11:15 AM	Design and Analysis Methods for Randomized Clinical Trials with Clustered Survival Endpoints Sin-Ho Jung, Duke University School of Medicine; Jianghao Li, Eli Lilly and Company
11:35 AM	Adjusting for Informative Cluster Size in Pseudo-Value-Based Regression Approaches with Clustered Time-to-Event Data Samuel C Anyaso-Samuel, University of Florida; Somnath Datta, University of Florida
11:55 AM	Discussant: Jong H Jeong, University of Pittsburgh
12:15 PM	Floor Discussion

223536	Mon, 8/8/2022, 11:00 AM - 12:30 PM	M-Capitol
ASA Asian Forward - Career Development Workshop — Other ICW
Korean International Statistical Society, International Chinese Statistical Association, International Indian Statistical Association, ASA
Organizer(s): MoonJung Cho, U.S. Bureau of Labor Statistics

178	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-101
Memorial Session for Michael Woodroofe — Invited Papers
Memorial, Caucus for Women in Statistics, IMS, International Chinese Statistical Association
Organizer(s): Bodhisattva Sen, Columbia University
Chair(s): Mary C Meyer, Colorado State University
2:05 PM	Michael Woodroofe: Statistician and Friend David Siegmund, Stanford University
2:35 PM	Beautiful Ideas, Beautiful Mind, Impact Then, Now and Future - in Memory of Woodroofe Jiayang Sun, George Mason University
3:05 PM	Michael Woodroofe: Shape Constraints and Biased Sampling Models Jon Wellner, University of Washington
3:35 PM	Floor Discussion

217 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-150B
Theory and Algorithms for Adaptive Clinical Trial Design with Multiple Objectives — Invited Papers
WNAR, International Chinese Statistical Association, Biopharmaceutical Section
Organizer(s): Ying Lu, Stanford University School of Medicine
Chair(s): Ying Lu, Stanford University School of Medicine
8:35 AM	Grammar of Group Sequential Design Presentation Keaven M Anderson, Merck & Co., Inc.; Yilong Zhang, Merck & Co., Inc.; Nan Xiao, Merck & Co., Inc.; Yujie Zhao, Merck & Co., Inc.
9:00 AM	Tight, Rigorous, and Automated Type I Error Proofs with Simulation Michael Benjamin Sklar, Stanford University
9:25 AM	Optimizing Patient Enrollment in Global Clinical Trials by Metaheuristics Weng Kee Wong, UCLA; Mitchell Schepps, UCLA; Austin Matt, Amgen; Vlad Anisimov, Amgen
9:50 AM	Multi-Objective Approach to Assist in Selection of Efficient Clinical Trial Operation Design with Respect to Minimizing Expected Recruitment Time and the Geographic Site Footprint Austin Matt, Amgen; Vlad Anisimov, Amgen
10:15 AM	Floor Discussion

270 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-151B
Advanced Multivariate Time Series Modeling — Topic Contributed Papers
International Chinese Statistical Association, Business and Economic Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Mengyu Xu, University of Central Florida
Chair(s): Rui Xie, University of Central Florida
10:35 AM	A Stratified Penalization Method for Semiparametric Variable Labeling of Multi-Output, Time-Varying Coefficient Models Ting Zhang, University of Georgia; Weiliang Wang, Boston University; Yu Shao, Boston University
10:55 AM	CP Factor Model for Dynamic Tensors Yuefeng Han, Rutgers University; Rong Chen, Rutgers University; Cun-Hui Zhang, Rutgers University
11:15 AM	Tail Adversarial Stability for Linear Processes Shuyang Bai, University of Georgia; Ting Zhang, University of Georgia
11:35 AM	Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds Likai Chen, Washington University in Saint Louis; Wei Biao Wu, University of Chicago; Georg Keilbar, University of Vienna
11:55 AM	Minimax Nonparametric Multiple-Sample Test Under Smoothing Xin Xing, Virginia Tech
12:15 PM	Floor Discussion

310 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-152A
Data Integration and Information Synthesis in Survival Analysis — Invited Papers
Lifetime Data Science Section, Section on Statistics in Epidemiology, International Chinese Statistical Association
Organizer(s): Hong Zhu, University of Texas Southwestern Medical Center
Chair(s): Hong Zhu, University of Texas Southwestern Medical Center
2:05 PM	Risk Projection for Time-to-Event Outcome Leveraging Summary Statistics in the Target Population Li Hsu, Fred Hutchinson Cancer Research Center; Jiayin Zheng, Fred Hutchinson Cancer Research Center; Yingye Zheng, Fred Hutchinson Cancer Research Center
2:30 PM	Accommodating Population Differences in Model Validation Ruth Pfeiffer, National Cancer Institute; Yiyao Chen, Technical University of Munich; Mitchell Gail, National Cancer Institute; Donna P. Ankerst, Technical University of Munich
2:55 PM	Data Integration and Information Synthesis When Different Studies Have Similar but Not Exactly the Same Distribution Jing Qin, Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases
3:20 PM	Cautionary Tales of 'Old' RCT Evidence in 'New' Era Yu Shen, UT MD Anderson Cancer Center; Jing Ning, UT MD Anderson Cancer Center
3:45 PM	Floor Discussion

364 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-151A
Modern Nonparametric Methods, with Applications in Complex Biomedical Data — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Tracy Ke, Harvard University
Chair(s): Tracy Ke, Harvard University
8:35 AM	Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptation Tony Cai, University of Pennsylvania
9:00 AM	Fast, Model-Agnostic Confidence Intervals for Feature Importance Genevera Allen, Rice University; Lili Zheng, Rice University; Luqin Gan, Rice University
9:25 AM	Transfer Learning Under High-Dimensional Generalized Linear Models Yang Feng, New York University; Ye Tian, Columbia University
9:50 AM	Statistical Inference for Linear Mediation Models with High-Dimensional Mediators Runze Li, Penn State University; Xu Guo, Beijing Normal University; Jingyuan Liu, Xiamen University; Mudong Zeng, Penn State University
10:15 AM	Floor Discussion

374 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-201
Bayesian Clinical Trial Designs with Heterogeneous Patient Subgroups — Topic Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Section on Bayesian Statistical Science
Organizer(s): Kentaro Takeda, Astellas Pharma Global Development, Inc.
Chair(s): Kentaro Takeda, Astellas Pharma Global Development, Inc.
8:35 AM	Dose Finding with Heterogeneous Patient Subgroups ANASTASIA IVANOVA, UNC at Chapel Hill; Pooja Saha, Center for Biostatistics in AIDS Research, Department of Biostatistics, Harvard T.H. Chan
8:55 AM	Group-Sequential Enrichment Designs Based on Adaptive Regression of Response and Survival Time on High-Dimensional Covariates Yeonhee Park, University of Wisconsin-Madison; Suyu Liu, The University of Texas MD Anderson Cancer Center; Peter Thall, The University of Texas MD Anderson Cancer Center; Ying Yuan , the University of Texas MD Anderson Cancer Center
9:15 AM	BAGS: A Bayesian Adaptive Group Sequential Trial Design with Subgroup-Specific Survival Comparisons Ruitao Lin, MD Anderson; Peter Thall, The University of Texas MD Anderson Cancer Center; Ying Yuan , the University of Texas MD Anderson Cancer Center
9:35 AM	Bayesian Divide-and-Conquer Propensity Score–Based Approaches for Leveraging Real-World Data in Randomized Control Trials Eric Baron, University of Connecticut; Jian Zhu, Servier Pharmaceuticals; Sammi Tang, Servier Pharmaceuticals; Ming-Hui Chen, University of Connecticut
9:55 AM	Incorporating Historical Information for Randomized Clinical Trials: Dynamic Borrowing with Bias Control Masataka Taguri, Yokohama City University
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

398 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-202B
Recent Advances in Streaming Data Analytics — Invited Papers
International Chinese Statistical Association, WNAR, Section on Statistical Learning and Data Science
Organizer(s): Lan Luo, The University of Iowa
Chair(s): Peter Song, University of Michigan
10:35 AM	Multivariate Online Regression Analysis with Heterogeneous Streaming Data Lan Luo, The University of Iowa; Peter Song, University of Michigan
11:00 AM	Dynamic Statistical Inference in Massive Datastreams Lilun Du, HKUST; Changliang Zou, Nankai University; Zhenke Wu, University of Michigan, Ann Arbor; Jingshen Wang, UC Berkeley
11:25 AM	Assessing Time-Varying Causal Effect Moderation in the Presence of Cluster-Level Treatment Effect Heterogeneity Walter Dempsey, University of Michigan; Zhenke Wu, University of Michigan, Ann Arbor; Jieru Shi, University of Michigan
11:50 AM	Statistical Inference for Online Decision-Making via Stochastic Gradient Descent Rui Song, North Carolina State University
12:15 PM	Floor Discussion

408 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-144C
Recent Advances in Statistical Machine Learning — Topic Contributed Papers
Section for Statistical Programmers and Analysts, Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, International Chinese Statistical Association
Organizer(s): Guan Yu, University of Pittsburgh
Chair(s): Gen Li, University of Michigan
10:35 AM	Locally Weighted Nearest Neighbor Classifier Guan Yu, University of Pittsburgh; Xingye Qiao, Binghamton University
10:55 AM	Contextual Dynamic Pricing with Unknown Noise Yiyun Luo, UNC; Will Wei Sun, Purdue University; Yufeng Liu, University of North Carolina
11:15 AM	Optimal and Safe Estimation for High-Dimensional, Semi-Supervised Learning Yang Ning, Cornell University
11:35 AM	Learning Acceptance Regions for Many Classes with Anomaly Detection Zhou Wang, Binghamton University; Xingye Qiao, Binghamton University
11:55 AM	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

471 !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-154A
New Frontier in Developments of Complex-Structured High-Dimensional Data Analysis — Topic Contributed Papers
International Chinese Statistical Association, IMS, Section on Statistics and Data Science Education
Organizer(s): Chenlu Ke, Virginia Commonwealth University; Jiaying Weng, Bentley University
Chair(s): Chenlu Ke, Virginia Commonwealth University
2:05 PM	Functional Group Lasso with Functional Predictor Selection Jun Song, Korea University; Ali Mahzarnia, UNC Charlotte
2:25 PM	Testing the Linear Mean and Constant Variance Conditions in Sufficient Dimension Reduction Yuexiao Dong, Temple University
2:45 PM	Pseudo Sufficient Dimension Reduction with Ill-Conditioned Sample Covariance Matrix Wenbo Wu, The University of Texas at San Antonio
3:05 PM	Subspace Estimation with Automatic Dimension and Variable Selection in Sufficient Dimension Reduction Jing Zeng, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
3:25 PM	Triply Robust Surrogate-and-Model-Assisted Semi-Supervised Transfer Learning Mengyan Li, Bentley University; Tianxi Cai , Harvard University ; Molei Liu, Harvard University
3:45 PM	Floor Discussion

223625	Wed, 8/10/2022, 5:00 PM - 7:00 PM	M-Cherry Blossom
ICSA Member Meeting — Other ICW
International Chinese Statistical Association
Organizer(s): Mengling Liu, NYU Langone Health

508 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-202A
Innovative Statistical Methods for Preclinical to Clinical Translatability in Drug Development — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, International Chinese Statistical Association
Organizer(s): Dean Li, Pfizer
Chair(s): Dean Li, Pfizer
8:35 AM	Predicting Clinical Response Rate of BRAF Inhibitors in BRAF-Mutant Melanoma Using Preclinical Data Shibing Deng, Pfizer Inc; Douglas Robinson, Pfizer Inc
8:55 AM	A Bayesian Approach for MRE Back Translation Based Decision Making with the Attenuation Ratio Metric Thomas Bradstreet, Bristol-Myers Squibb; Haiying Tang, CHDI Management, Inc.; Matthew Fronheiser, Bristol-Myers Squibb; Thomas Petrone, Bristol-Myers Squibb; Lei Zhao, Bristol-Myers Squibb
9:15 AM	A Bayesian Gene Network Reveals Insight into the JAK-STAT Pathway in Systemic Lupus Erythematosus Yushi Liu, Eli Lilly and Company
9:35 AM	Discussant: Alan Chiang, Lyell Immunopharma
9:55 AM	Floor Discussion

520	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-141
Variable Selection, Model Selection, and Aggregated Inference — Contributed Papers
International Chinese Statistical Association
Chair(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
8:35 AM	Fréchet Sufficient Variable Selection with Graph Structure Among Predictors Jiaying Weng, Bentley University
8:50 AM	Sufficient Dimension Folding with Categorical Predictors Qingcong Yuan, Miami University; Yuanwen Wang, Apple; Yuan Xue, University of International Business and Economics
9:05 AM	Confidence Envelopes for Model Selection Inference and Post Model Selection Inference Lakmini Nadeesha Jayaweera Imiya Mohottige, Texas Tech University; Adao Alex Trindade, Texas Tech University
9:20 AM	Minimum Discrepancy Approach for Dimension Reduction by Feature Filter Pei Wang, Miami of Ohio
9:35 AM	Robust Tests for Combining P-Values Under Arbitrary Dependency Structures Zhongxue Chen, Indiana University Bloomington
9:50 AM	The Poisson Multinomial Distribution and Its Applications in Voting Theory, Ecological Inference, and Machine Learning ZHENGZHI LIN, Virginia Tech
10:05 AM	When to Initiate Cancer Screening Exam If Sensitivity Is a Function of Sojourn Time? Dongfeng Wu, University of Louisville

JSM 2022 Conference Program

Activity Details

American Statistical Association