Conference Program Home
My Program
All Times EDT
Legend:
CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
* = applied session ! = JSM meeting theme
Activity Details
119 * !
Mon, 8/8/2022,
10:30 AM -
12:20 PM
CC-151B
Statistics for Mobile and Wearable Device Data — Invited Papers
Business and Economic Statistics Section , Section on Medical Devices and Diagnostics, Section on Statistics in Epidemiology
Organizer(s): Nathaniel Josephs, Yale University
Chair(s): Nathaniel Josephs, Yale University
10:35 AM
Impact of Close Interpersonal Contact on COVID-19 Incidence: Evidence from One Year of Mobile Device Data
Forrest W. Crawford, Yale University ; Sydney A. Jones, CDC/CT DPH; Matthew Cartter, CT DPH; Samantha Dean, Yale School of Public Health; Joshua L. Warren, Yale School of Public Health; Zehang Richard Li, UCSC; Jacqueline Barbieri, Whitespace Ltd; Jared Campbell, Whitespace Ltd; Patrick Kenney, Whitespace Ltd; Thomas Valleau, Whitespace Ltd; Olga Morozova, Stony Brook University
11:00 AM
Significance Testing in Four-Period Crossover Designs, with Application to Physical Activity Data in Cats
Ana-Maria Staicu, North Carolina State University ; Salil Koner, University of Pennsylvania
11:25 AM
Smartphone-Based Human Activity Recognition
Jukka-Pekka Onnela, Harvard T.H. Chan School of Public Health
11:50 AM
Discussant: Eric Kolaczyk, Boston University
12:10 PM
Floor Discussion
193 *
Mon, 8/8/2022,
2:00 PM -
3:50 PM
CC-204B
Section on Medical Devices and Diagnostics: Student Paper Competition — Topic Contributed Papers
Section on Medical Devices and Diagnostics
Organizer(s): Tracy Bergemann, Medtronic Plc
Chair(s): Tracy Bergemann, Medtronic Plc
2:05 PM
Batch Bayesian Optimization Design for Optimizing a Neurostimulator
Adam Kaplan , Center for Care Delivery and Outcomes Research ; Thomas Murray , University of Minnesota
2:25 PM
Deep Spectral Q-Learning in Infinite Horizon with Applications in Mobile Health
Yuhe Gao, North Carolina State University ; Chengchun Shi, London School of Economics and Political Science; Rui Song, North Carolina State University
2:45 PM
Modeling and Estimating a Threshold Effect: An Application to Improving Cardiac Surgery Practices
Guangyu Yang, University of Michigan; Baqun Zhang, Shanghai University of Finance and Economics; Jonathan Haft, University of Michigan; Robert Hawkins, University of Michigan; David Sturmer, University of Michigan; Donald Likosky, University of Michigan; Min Zhang, University of Michigan
3:05 PM
A Single Index Model for Longitudinal Outcomes to Optimize Individual Treatment Decision Rules
Lanqiu Yao, New York University School of Medicine ; Thaddeus Tarpey, New York University
3:25 PM
Estimating the Lifetime Risk of a False Positive Screening Test Result
Presentation
Tim White, University of Minnesota ; Sara Algeri, University of Minnesota
3:45 PM
Floor Discussion
246
Tue, 8/9/2022,
8:30 AM -
10:20 AM
CC-140A
Improved Disease Classification Through Extensions of ROC Curve Estimation and Biomarker Characterization — Contributed Papers
Section on Medical Devices and Diagnostics
Chair(s): Roseann White, Natera
8:35 AM
Parametric and Semiparametric Multiple Imputation for Missing Biomarker Values
Peng Shi, University of Kansas Medical Center ; Leonidas Bantis, University of Kansas Medical Center
8:50 AM
Sampling Bias Adjustment for Bridging Efficacy from Multiple Clinical Trial Assays (CTA) to a Companion Diagnostics Assay (CDx)
Ja-An Lin, Illumina Inc ; Yaji Xu, Illumina Inc; Aida Yazdanparast, Illumina Inc; Johan Surtihadi, Illumina Inc
9:05 AM
Diagnostic Latent Class Model for Ordinal Classification
Xiaoyan Lin, University of South Carolina ; Yun Yang, University of South Carolina; Kerrie Nelson, Boston University School of Public Health
9:20 AM
Predicting Type 2 Diabetes Based on Multiclass AUC from Multinomial Logistic Regression
Presentation
Paul G Wakim, NIH Clinical Center ; Hima Tallam, NIH Clinical Center; Daniel C Elton, NIH Clinical Center; Sungwon Lee, NIH Clinical Center; Perry J Pickhardt, University of Wisconsin School of Medicine and Public Health; Ronald M Summers, NIH Clinical Center
9:35 AM
Analyzing Partially Paired Data for Diagnostic Radiology Studies Using the Obuchowski-Rockette Method
Stephen L Hillis, ASA
9:50 AM
Estimating Diagnostic Accuracy When Candidate Tests Are Subject to Detection Limits---Application to Diagnosing Early Stage Alzheimer Disease
Chengjie Xiong, Division of Biostatistics, Washington University in St. Louis ; Jingqin Luo, Division of Public Health Sciences, Washington University in St. Louis; John Morris, Knight Alzheimer Disease Research Center, Washington University in St. Louis
10:05 AM
Estimation and Inference on the Volume Under the ROC Surface in a Clinical Region of Interest
Kate Young, University of Kansas Medical Center ; Leonidas Bantis, University of Kansas Medical Center
265 * !
Tue, 8/9/2022,
10:30 AM -
12:20 PM
CC-143C
Stochastic Processes in Medicine and Medical Engineering: Theoretical Foundations and Applications — Topic Contributed Papers
Section on Medical Devices and Diagnostics , IMS, Section on Physical and Engineering Sciences
Organizer(s): Jan Beran, University of Konstanz
Chair(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
10:35 AM
Functional Time Series Modeling of Mechanically Ventilated Breathing Activity
Jan Beran, University of Konstanz
10:55 AM
Scalable Gaussian Process Regression for Biomedical Time-Series Data
Jan Graßhoff, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering ; Philipp Rostalski, Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering
11:15 AM
Incorporating Model Mismatch in a Bayesian Uncertainty Quantification Analysis of a Fluid-Dynamics Model of Pulmonary Blood Circulation
Presentation
Mihaela Paun, University of Glasgow ; Mitchel Colebank, University of California; Mette Olufsen, North Carolina State University; Nicholas Hill, University of Glasgow; Dirk Husmeier, University of Glasgow
11:35 AM
Adaptive Frequency Band Analysis for Multivariate Biomedical Time Series
Scott Alan Bruce, Texas A&M University ; Raanju Sundararajan, Southern Methodist University
11:55 AM
Benefits of Noise in Biomedical Research: A Multiscale Point of View
Brani Vidakovic, Texas A&M University
12:15 PM
Floor Discussion
319 * !
Tue, 8/9/2022,
2:00 PM -
3:50 PM
CC-207B
Innovative Statistical and Machine Learning Methods for Wearable Device Data — Topic Contributed Papers
WNAR , Section on Medical Devices and Diagnostics, ENAR
Organizer(s): Chongzhi Di, Fred Hutchinson Cancer Research Center; Ken Wang, Fred Hutchinson Cancer Research Center
Chair(s): Jingjing Zou, University of California at San Diego (UCSD)
2:05 PM
Sedentary Behavior Estimation with Hip-worn Accelerometer Data: Segmentation, Classification and Thresholding
Loki Natarajan, University of California at San Diego (UCSD) ; Jingjing Zou, University of California at San Diego (UCSD); Yiren Wang, University of California San Diego
2:25 PM
Considerations to Address Missing Data When Deriving Clinical Trial Endpoints from Digital Health Technologies
Junrui Di, Pfizer Inc
2:45 PM
Identifying Different Patterns Across Multiple Activity Behaviors Using Latent Class Analysis: A Compositional Data Approach
Annie Green Howard, UNC - Chapel Hill ; Fang Wen, UNC - Chapel Hill; Chongzhi Di, Fred Hutchinson Cancer Research Center; Julie Buring, Harvard Medical School; Eric Shiroma, National Institute on Aging; Michael Kebede, UNC - Chapel HIll; Kelly Evenson, UNC - Chapel Hill; I-Min Lee, Harvard T.H. Chan School of Public Health
3:05 PM
Calibration of an Accelerometer Activity Index Among Older Women and Its Association with Cardiometabolic Risk Factors
Guangxing Wang, Fred Hutchinson Cancer Research Center ; Sixuan Wu, Inspur; Kelly Evenson, UNC - Chapel Hill; Ilsuk Kang, Fred Hutchinson Cancer Research Center; Michael LaMonte, University at Buffalo – SUNY; John Bellettiere, UCSD; I-Min Lee, Harvard T.H. Chan School of Public Health; Annie Green Howard, UNC - Chapel Hill; Andrea LaCroix, UCSD; Chongzhi Di, Fred Hutchinson Cancer Research Center
3:25 PM
Discussant: Chongzhi Di, Fred Hutchinson Cancer Research Center
3:45 PM
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
400 * !
Wed, 8/10/2022,
10:30 AM -
12:20 PM
CC-151B
Challenges and Opportunities for the Principled Calibration and QA/QC Assessments of AI and Machine Learning Methods Within Medical Device Applications — Invited Papers
Section on Medical Devices and Diagnostics , International Indian Statistical Association, American Medical Informatics Association
Organizer(s): Arvind Rao, University of Michigan
Chair(s): Ja-An Lin, Illumina Inc
10:35 AM
Validation of Machine Learning-Enabled Diagnostic Medical Devices: Statistical Challenges and Opportunities from a Regulatory Perspective
Presentation
Gene Anthony Pennello, Food and Drug Administration
10:55 AM
Quality Assessment of AI Tools in Radiology
Arvind Rao, University of Michigan
11:15 AM
Advancing Regulatory Science for Medical Devices and Medical Software Through Collaboration
Jithesh Veetil, PhD, MDIC
11:35 AM
Modifying Artificial Intelligence/Machine Learning-Based Software and the Algorithm Change Protocol
Tarek Haddad, Medtronic Inc. ; Donald Musgrove, Medtronic Inc.
11:55 AM
Discussant: Tracy Bergemann, Medtronic Plc
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
470 * !
Wed, 8/10/2022,
2:00 PM -
3:50 PM
CC-207B
Beyond Precision Medicine: Making It Personal with N-of-1 and Single Case Methods for Medicine, Rare Diseases, Digital Health, Behavior, and Wearables — Topic Contributed Papers
Biometrics Section , Section on Medical Devices and Diagnostics, Mental Health Statistics Section
Organizer(s): Eric J. Daza, Evidation Health
Chair(s): Ziwei Liao, Columbia University
2:05 PM
Efficient Sequential N-of-1 Trials and Observational Studies
Nicholas Schork, The Translational Genomics Research Institute
2:25 PM
Using Population Crossover Trials to Improve the Decision Process Regarding Treatment Individualization in N-of-1 Trials
Presentation
Francisco J. Diaz, The University of Kansas Medical Center
2:45 PM
Experiences with Large Series of Individual Trials for Personalized Health
Presentation
Christopher Schmid, Brown University
3:05 PM
Single Case Designs: MVA’: A Mobile Application for Conducting Single-Case Experimental Research Remotely
Mariola Moeyaert, University at Albany
3:25 PM
Individual Average Treatment Effect Estimation Using Real-World Observational Data from Wearables
Presentation
Eric J. Daza, Evidation Health ; Logan Schneider, Alphabet Inc.
3:45 PM
Floor Discussion
548 !
Thu, 8/11/2022,
10:30 AM -
12:20 PM
CC-151B
Innovative Methods in Precision Medicine — Topic Contributed Papers
Biometrics Section , Biopharmaceutical Section, Section on Medical Devices and Diagnostics
Organizer(s): David Gold, Amgen, Inc.
Chair(s): David Gold, Amgen, Inc.
10:35 AM
Adjusting for Misclassification in a Stratified Biomarker Clinical Trial
Susan Halabi, Duke University School of Medicine
10:55 AM
Estimation Following Two-Stage Adaptive Enrichment Design
Peter Kimani, Warwick Medical School
11:15 AM
Subgroup Identification in Clinical Trial
Xin Huang, AbbVie Inc.
11:35 AM
Pharmacogenomics for Tailored Therapies in Labeling of FDA Oncology Drugs
Danni Yu, Nektar Therapeutics
11:55 AM
Discussant: Kay Tatsuoka, Santen