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

Conference Program Home
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All Times EDT

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

Activity Details

79	Mon, 8/8/2022, 7:00 AM - 8:15 AM	CC-Ballroom Level South Prefunction
Section on Statistics in Imaging A.M. Roundtable Discussion (Added Fee) — Roundtables AM Roundtable Discussion
Section on Statistics in Imaging
ML04:	Statistical Methods for Uncertainty Quantification and Information Extraction from Neuroimaging Data Juna Goo, Boise State University; Guanqun Cao, Auburn University; Chitrak Banerjee, Wells Fargo N A; LYUDMILA SAKHANENKO, Michigan State University

88	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-152B
Recent Advances in Multimodal Neuroimaging Data Integration — Invited Papers
Section on Statistics in Imaging, Biometrics Section, ENAR
Organizer(s): Elizabeth Sweeney, University of Pennsylvania
Chair(s): Julia Wrobel, Colorado School of Public Health
8:35 AM	Clustering Using JIVE with Gaussian Mixtures for Data Integration Benjamin Risk, Emory University; Gavin Tian, Emory University; James Lah, Emory University School of Medicine; John Hanfelt, Emory University
9:05 AM	Supervised and Unsupervised Learning for Multimodal Data Integration Brian Caffo, Johns Hopkins University
9:35 AM	A Spatial Bayesian Latent Factor Model for Image-on-Image Regression Jian Kang, University of Michigan
10:05 AM	Floor Discussion

132 *	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-204B
Statistical Advances in Dimension Reduction and Feature Interpretability in Neuroimaging — Topic Contributed Papers
ENAR, Section on Statistics in Imaging, Biometrics Section
Organizer(s): Sarah M Weinstein, University of Pennsylvania
Chair(s): Russell Shinohara, University of Pennsylvania
10:35 AM	Longitudinal Canonical Correlation Analysis seonjoo lee, columbia university/NYSPI; Jongwoo Choi, NYSPI; zhiqian Fang, NYSPI; F Dubois Bowman, Univeristy of Michigan
10:55 AM	Multimodal Data Fusion for Imaging Genomics Nicole A. Lazar, Pennsylvania State University; Krissy Knight, UC San Francisco; Liang Liu, University of Georgia
11:15 AM	Neurodevelopment Subtyping via Multidimensional Brain Functional Connectomes Yize Zhao, Yale University
11:35 AM	CLEAN: Leveraging Spatial Autocorrelation in Neuroimaging Data in Clusterwise Inference Jun Young Park, University of Toronto; Mark Fiecas, University of Minnesota
11:55 AM	Nuisance Variable-Adjusted Feature Extraction Through Penalized Decomposition Using Residuals Sarah M Weinstein, University of Pennsylvania; Christos Davatzikos, University of Pennsylvania; Jimit Doshi, University of Pennsylvania; Guray Erus, University of Pennsylvania; Kristin Linn, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
12:15 PM	Floor Discussion

157	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: Section on Statistics in Imaging — Contributed Poster Presentations
Section on Statistics in Imaging
Chair(s): Gyuhyeong Goh, Kansas State University
34:	BOSS: Beta-Mixture Unsupervised Oligodendrocytes Segmentation System Eunchan Caleb Bae, University of Pennsylvania; Jennifer L Orthmann-murphy, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
35:	Hierarchical Bayesian Nonparametric Decomposition of Multiple Multivariate Brain Signals Guillermo Cuauhtemoctzin Granados Garcia, King Abdullah Universe of Science and Technology; Raquel Prado, University of California Santa Cruz; Hernando Ombao, King Abdullah University of Science and Technology

195	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-150A
Section on Statistics in Imaging Student Paper Award Winners — Topic Contributed Papers
Section on Statistics in Imaging
Organizer(s): Simon N Vandekar, Vanderbilt University Medical Center
Chair(s): Simon N Vandekar, Vanderbilt University Medical Center
2:05 PM	Weak Signal Inference Under Dependence and Sparsity with Application to fMRI Data Yifei Hu, North Carolina State University; Xinge Jeng, North Carolina State University
2:25 PM	Reduced-Rank Tensor-on-Tensor Regression and Tensor-Variate Analysis of Variance Carlos Llosa, Iowa State University ; Ranjan Maitra, Iowa State University
2:45 PM	Optimized Diffusion Imaging for Brain Structural Connectome Analysis William Consagra, University of Rochester; Zhengwu Zhang , University of North Carolina at Chapel Hill; Arun Venkataraman , University of Rochester
3:05 PM	Neuro-Hotnet: A Graph Theoretic Approach for Brain FC Estimation Nathan Tung, Brown University; Eli Upfal, Brown University; Jerome Sanes, Brown University; Ani Eloyan, Brown University
3:25 PM	Harmonizing Functional Connectivity Reduces Scanner Effects in Community Detection Andrew An Chen, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Haochang Shou, University of Pennsylvania
3:45 PM	Floor Discussion

249	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-155
Multivariate Methods for Neuroimaging Data — Contributed Papers
Section on Statistics in Imaging
Chair(s): Andrew Brown, Clemson University
8:35 AM	Spatial Auto-Regressive Model for Von-Mises Fisher Distributed Directional Data Zhou Lan, Yale School of Medicine; Arkaprava Roy, University of Florida
8:50 AM	Statistical Tractography: An Integral Curve Estimation for DTI/HARDI LYUDMILA SAKHANENKO, Michigan State University
9:05 AM	Conditional Correlation Models with Association Size Danni Tu, University of Pennsylvania; Bridget Mahony, National Institutes of Mental Health; Tyler M. Moore, University of Pennsylvania; Maxwell A. Bertolero, University of Pennsylvania; Aaron F. Alexander-Bloch, University of Pennsylvania; Ruben Gur, University of Pennsylvania; Danielle S. Bassett, University of Pennsylvania; Theodore D. Satterthwaite, University of Pennsylvania; Armin Raznahan, National Institutes of Mental Health; Russell Shinohara, University of Pennsylvania
9:20 AM	Random Covariance Model for Task-Based fMRI Corroborates and Reveals Connections in Neurofeedback Study of Adolescent Depression Presentation Lin Zhang, University of Minnesota; Karina Quevedo, University of Minnesota; Quinton Neville, University of Minnesota
9:35 AM	A General Framework for Repeated Measures Sparse Bayesian Independent Component Analysis with Applications to Multi-Center and Longitudinal Imaging Studies Joshua Lukemire, Emory University; Ying Guo, Emory University
9:50 AM	A Full Bayesian Approach to SENSE Image Reconstruction Increases Brain Tissue Contrast and Reduces Noise for More Accurate Statistical Analysis Presentation Chase J Sakitis, Marquette University; Daniel B Rowe, Marquette University; Andrew Brown, Clemson University
10:05 AM	Floor Discussion

266 *	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-202B
Causal Inference in Neuroimaging and Radiology — Topic Contributed Papers
Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Benjamin Risk, Emory University
Chair(s): Benjamin Risk, Emory University
10:35 AM	Multimodal Data Integration via Mediation Analysis with High-Dimensional Exposures and Mediators Yi Zhao, Indiana University; Lexin Li, University of California, Berkeley
10:55 AM	Causal Effects of Multidimensional Exposures Razieh Nabi, Emory University; Ilya Shpitser, Johns Hopkins University
11:15 AM	Quantitative Susceptibility Maps in Multiple Sclerosis Lesions Elizabeth Sweeney, University of Pennsylvania
11:35 AM	Challenges and Opportunities of Using Interleaved TMS/fMRI Data to Personalize Treatment for Depression Kristin Linn, University of Pennsylvania
11:55 AM	Effects of Transcranial Magnetic Stimulation on Functional Connectivity Michael Sobel, Columbia University; Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
12:15 PM	Floor Discussion

306 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-150B
Statistical Challenges in Large-Scale Imaging Studies — Invited Papers
Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Hongtu Zhu, University of North Carolina at Chapel Hill
Chair(s): Yue Wang, Arizona State University
2:05 PM	Understanding Brain Health from a Multi-Organ Perspective with MRI Data Bingxin Zhao, Purdue University; Hongtu Zhu, University of North Carolina at Chapel Hill
2:25 PM	Modeling Cortical Brain Network Activity Through Concurrent EEG-FNIRS Marco Pinto-Orellana, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology
2:45 PM	Prediction Models and Pipelines for Biobank-Scale Imaging Data Hongtu Zhu, University of North Carolina at Chapel Hill; Tengfei Li, The University of North Carolina at Chapel Hill
3:05 PM	The Role of Statistics in Large Complex Neuroimaging Studies Martin Lindquist, Johns Hopkins Bloomberg School of Public Health
3:25 PM	Enhancing the Reliability of Brain Connectomics in Neuroimaging Studies Ying Guo, Emory University
3:45 PM	Floor Discussion

223643	Tue, 8/9/2022, 5:00 PM - 6:00 PM	Virtual
Statistics in Imaging Section Business Meeting — Other Cmte/Business
Section on Statistics in Imaging
Chair(s): Ciprian M. Crainiceanua, Johns Hopkins University
Meeting will happen over zoom. Please contact the chair via email to obtain the zoom link. Zoom link will also be sent via email to all Section members one week before the meeting.

379 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-154A
Single and Multi-Object Regression and Clustering with Applications in Neuro-Imaging Data — Topic Contributed Papers
Mental Health Statistics Section, Section on Statistics in Imaging, International Statistical Institute, Biometrics Section
Organizer(s): Rajarshi Guhaniyogi, Texas A & M University
Chair(s): Rajarshi Guhaniyogi, Texas A & M University
8:35 AM	On Network Modularity Statistics in Connectomics and Schizophrenia Joshua Cape, University of Pittsburgh
8:55 AM	Biclustering with Feature Selection Eric Chi, Rice University; Jason Xu, Duke University; Saptarshi Chakraborty, University of California, Berkeley; Debolina Paul, Stanford
9:15 AM	Bayesian Multi-Object Regression with Applications in Multi-Modal Imaging Data Rajarshi Guhaniyogi, Texas A & M University; Aaron Scheffler, UCSF; Rene Gutierrez, Texas A & M
9:35 AM	A Bayesian Covariance Based Clustering for High-Dimensional Tensors Aaron Scheffler, UCSF; Rene Gutierrez, UCSC; Rajarshi Guhaniyogi, Texas A & M University
9:55 AM	Bayesian Network Clustering with Brain-Imaging Data Sharmistha Guha, Texas A&M University
10:15 AM	Floor Discussion

382 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-143B
Imaging and Clinical Biomarkers in Neurodegenerative Disease — Topic Contributed Papers
Section on Statistics in Imaging, Biometrics Section
Organizer(s): Lorin Crawford, Brown University; Ani Eloyan, Brown University
Chair(s): Lorin Crawford, Brown University
8:35 AM	Nonlinear Z-Score Estimation for Establishing Cognitive Norms Presentation John Kornak, University of California, San Francisco; Jingxuan Wang, University of California, San Francisco; Fei Jiang, University of California, San Francisco; Julie Fields, Mayo Clinic Rochester; Adam Staffaroni, University of California, San Francisco; Howard Rosen, University of California, San Francisco; Adam Boxer, University of California, San Francisco; Bradley Boeve, Mayo Clinic Rochester; Consortium ALLFTD, National Institutes of Health
8:55 AM	Harmonization Methods for Multi-Level Correlated Neuroimaging Data Russell Shinohara, University of Pennsylvania
9:15 AM	Biomarker Discovery in Parkinson's Disease Using a Disease Progression Model Kristen Severson, Microsoft Research
9:35 AM	Improved Methods of Biomarker Detection in PET and MRI Studies of Alzheimer’s Disease Dana L Tudorascu, University of Pittsburgh; James Wilson, University of Pittsburgh
9:55 AM	Structural differences in Alzheimer’s Disease using Bayesian Tensor Regression Presentation Daniel Spencer, Indiana University; Rajarshi Guhaniyogi, Texas A & M University; Russell Shinohara, University of Pennsylvania; Raquel Prado, University of California Santa Cruz
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

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

461 !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-143B
Perils and Opportunities for Analyzing Biological, Behavioral, and Digital Phenotypes of Mental Functions — Invited Papers
Mental Health Statistics Section, Section on Statistics in Imaging, Biometrics Section
Organizer(s): Yuan Chen, Memorial Sloan Kettering Cancer Center
Chair(s): Ying Liu, Columbia University Irving Medical Center
2:05 PM	A Latent State Space Model for Estimating Brain Dynamics from Electroencephalogram (EEG) Data Yuanjia Wang, Columbia University; Qinxia Wang, Novartis; Jimeng Loh, NJIT; Xiaofu He, Columia University
2:30 PM	Digital Phenotyping for Predicting Depression with Weakly Labeled Data Samprit Banerjee, Weill Medical College, Cornell University; Huaian Yu, Weill Medical College, Cornell University; Hongzhe Zhang, University of Pennsylvania
2:55 PM	Optimizing Individualized Treatments for Target Population with Multiple Domains Yuan Chen, Memorial Sloan Kettering Cancer Center; Donglin Zeng, University of North Carolina; Yuanjia Wang, Columbia University
3:20 PM	Noisy BLUPS: Individual Prediction of Psychiatric Outcomes Using Imaging Data Wesley Thompson, UCSD
3:45 PM	Floor Discussion

488	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-153
Novel Methods for Unique Spatial Imaging Applications — Contributed Papers
Section on Statistics in Imaging
Chair(s): Danni Tu, University of Pennsylvania
2:05 PM	Faster Estimation for Constrained Gamma Mixture Models Using Closed-Form Estimators Jiangmei Ruby Xiong, Vanderbilt University; Eliot McKinley, Vanderbilt University School of Medicine; Joseph T Roland, Vanderbilt University School of Medicine; Robert Coffey, Vanderbilt University School of Medicine; Martha Shrubsole, Vanderbilt University School of Medicine; Ken S Lau, Vanderbilt University School of Medicine; Simon N Vandekar, Vanderbilt University Medical Center
2:20 PM	Multilayer Adjusted Cluster Point Process Model: Application to Microbial Biofilm Image Data Analysis Suman Majumder, Harvard T.H. Chan School of Public Health; Brent Coull, Harvard University; Jessica L. Mark Welch, Marine Biological Laboratory; Patrick J. La Riviere, University of Chicago; Floyd E. Dewhirst, The Forsyth Institute; Jacqeline R. Starr, Brigham and Women's Hospital; Kyu Ha Lee, Harvard T.H. Chan School of Public Health
2:35 PM	Functional Inverse Prediction with Elastic Shape Analysis Katherine Goode, Sandia National Laboratories; James Derek Tucker, Sandia National Laboratories; Daniel Ries, Sandia National Labs
2:50 PM	Generative Models for Accuracy Improvement in Small-Sample Computer Vision Tasks: A Solar Energy Application Warren James Brettenny, Nelson Mandela University; Chantelle May Clohessy, Nelson Mandela University; Edward James Westraadt, Nelson Mandela University
3:05 PM	A Constructive Method for the Construction of Mercedes-Benz Frames in R^M Ghanshyam Bhatt, Tennessee State University
3:20 PM	Geometric Framework for Statistical Analysis of Eye Tracking Heat Maps, with Application to a Tobacco Waterpipe Study David Angeles, The Ohio State University; Sebastian Kurtek, The Ohio State University; Amy Ferketich, The Ohio State University; Elizabeth Klein, The Ohio State University; Marielle Brinkman, The Ohio State University
3:35 PM	Synthetic Images for Federated Learning of Medical Images Tsung-Hung Tsai, National Yang Ming Chiao Tung University, Taiwan; Henry Horng-Shing Lu, National Yang Ming Chiao Tung University, Taiwan

494 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-151A
Advanced Developments in Methods and Algorithms for Modern Complex Imaging Data — Invited Papers
Section on Statistical Computing, Section on Statistics in Imaging, ENAR, Biometrics Section
Organizer(s): Lily Wang, George Mason University; Shan Yu, University of Virginia
Chair(s): Xinyi Li, Clemson University
8:35 AM	Mixture of Multivariate Sparse Regressions Modeling for Oceanographic Flow Cytometry Data Jacob Bien, University of Southern California; Sangwon Hyun, University of Southern California; François Ribalet, University of Washington; Mattias Cape, University of Washington
9:00 AM	Generalized Liquid Association Analysis for Multimodal Data Integration Lexin Li, University of California, Berkeley; Jing Zeng, Florida State University; Xin Zhang, Florida State University
9:25 AM	Spline Smoothing of 3-D Geometric Data Shan Yu, University of Virginia; Xinyi Li, Clemson University; Yueying Wang, Columbia University; Guannan Wang, College of William and Mary; Lily Wang, George Mason University
9:50 AM	Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging Andrew Brown, Clemson University; Christopher McMahan, Clemson University; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
10:15 AM	Floor Discussion

542 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-204B
Advances in Topological and Geometric Data Analysis — Topic Contributed Papers
IMS, Section on Statistics in Imaging, Section on Statistical Learning and Data Science
Organizer(s): Yen-Chi Chen, University of Washington; Justin Strait, Los Alamos National Laboratory
Chair(s): Yen-Chi Chen, University of Washington
10:35 AM	Methods for Testing Distributional Assumptions for Object Data Leif Ellingson, Texas Tech University; Dong Xu, Suzhou University
10:55 AM	Random Persistence Diagram Generation and Materials Vasileios Maroulas, University of Tennesse, Knoxville; Theodore Papamarkou, The University of Manchester; Farzana Nasrin, University of Hawaii; Minh Quang Le, University of Tennesse, Knoxville
11:15 AM	Density-Based Classification in Diabetic Retinopathy Through Thickness of Retinal Layers from Optical Coherence Tomography Shariq Mohammed, Boston University; Tingyang Li, University of Michigan; Xing Chen, University of Michigan; Elisa Warner, University of Michigan; Anand Shankar, University of Michigan; Maria Fernanda Abalem, University of Michigan; Thiran Jayasundera, University of Michigan; Thomas Gardner, University of Michigan; Arvind Rao, University of Michigan
11:35 AM	Featurization of Topological Data Analysis Using Persistence Landscape and Circular Coordinates Jisu Kim, Inria; Kwangho Kim, Harvard; Manzil Zaheer, Google Research; Joon Sik Kim, Carnegie Mellon University; Frédéric Chazal, Inria; Larry Wasserman, Carnegie Mellon University; Hengrui Luo, Lawrence Berkeley National Laboratory; Alice Patania, Indiana University; Mikael Vejdemo-Johansson, CUNY
11:55 AM	Discussant: Justin Strait, Los Alamos National Laboratory
12:15 PM	Floor Discussion

551	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-143A
Statistical Machine Learning and Artificial Intelligence in Multi-Parametric Quantitative Imaging — Topic Contributed Papers
Section on Statistical Computing, Section on Statistics in Imaging
Organizer(s): Xiaofeng Wang, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University
Chair(s): Gene Anthony Pennello, Food and Drug Administration
10:35 AM	STATISTICAL THINKING, SYSTEMATIC REVIEWS, AND META-ANALYSES FOR BIOMAKERS AND MEDICAL TESTS Presentation Arkendra De, Agilent Technologies
10:55 AM	Phenotype Classification with Multiparametric Quantitative Imaging Biomarkers Jana Delfino, US Food and Drug Administration, CDRH
11:15 AM	Issues in the Development and Validation of Quantitative Imaging Biomarker-Based Models Erich Huang, National Cancer Institute
11:35 AM	Machine Learning in Radiomics: A Practical Guide for Modeling with Data-Driven Imaging Markers Xiaofeng Wang, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University
11:55 AM	Discussant: Weijie Chen, U.S. Food and Drug Administration (FDA)
12:15 PM	Floor Discussion

562	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-142
Regression Methods for Neuroimaging Data — Contributed Papers
Section on Statistics in Imaging
Chair(s): Kristin Linn, University of Pennsylvania
10:35 AM	Mixed Spline Modeling to Estimate the Onset of MS-Specific Thalamic Atrophy Using Brain MRI Scans Steven Y Cen, University of Southern California; Christina J. Azevedo, University of Southern California; Daniel Pelletier, University of Southern California; Saeed Moazami, University of Southern California; Mulugeta Gebregziabher, Medical University of South Carolina
10:50 AM	Utilizing Baseline Information in Addition to Task-Related Information in fMRI Presentation Daniel B Rowe, Marquette University
11:05 AM	Mediation Analysis for Multimodal Neuroimaging Data with Application to Alzheimer’s Disease Zhe Sun, Yale University; Yize Zhao, Yale University
11:20 AM	Envelop-Based Quantile Tensor Regression Model with Application to Neuroimaging Data Dayu Sun, Emory University; Limin Peng, Emory University; Ying Guo, Emory University; Amita Manatunga, Emory Unversity
11:35 AM	Multivariate Residualization in Medical Imaging Analyses Kevin Donovan, University of Pennsylvania; Kristin Linn, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
11:50 AM	Optimal Ridge Penalization in High-Dimensional Testing Iris Ivy Gauran, King Abdullah University of Science and Technology; Zhaoxia Yu, University of California Irvine; Hernando Ombao, King Abdullah University of Science and Technology
12:05 PM	Floor Discussion

JSM 2022 Conference Program

Activity Details

American Statistical Association