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
My Program

All Times EDT

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

Activity Details

CE_04C	Sat, 8/6/2022, 8:30 AM - 5:00 PM	CC-147B
Modern Statistical Learning for Observational Data — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): David Benkeser, Emory University, Rollins School of Public Health
While clinical trials provide the highest level of evidence to compare clinical treatments or public health interventions, they are often not feasible due to ethical, logistic or economic constraints. Observational studies provide an opportunity to learn about the effect of interventions for which little or no trial data are available. These studies constitute a potentially rich and relatively cheap source of information. However, in such studies, treatment or intervention allocation may be strongly confounded by other important patient characteristics and much care is needed to disentangle observed relationships and infer causal effects. In this course, we will provide an overview of modern techniques for analyzing observational data. We will focus primarily on recent advances in the field of targeted learning, which facilitates the use of state-of-the-art machine learning tools to flexibly adjust for confounding while yielding valid statistical inference. In contrast, conventional techniques for confounding adjustment rely on restrictive statistical models and may, therefore, lead to biased inference. We will discuss methods for inference on the effect of single time-point interventions, including their benefits and limitations. We will also introduce the multi time-point extension of these methods and discuss strategies for dealing with missing data. Methods will be illustrated using data from a recent observational study conducted using electronic medical records. At the conclusion of the course, attendees should be able to link scientific questions of interest to meaningful causal parameters, and perform estimation of those parameters using modern techniques.

CE_10C	Sun, 8/7/2022, 8:30 AM - 5:00 PM	CC-147A
A Practical Introduction to the Analysis of Incomplete Data — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Ofer Harel, University of Connecticut
Incomplete data is a common complication in applied research. While most practitioners are still ignoring the missing data problem, numerous books and research articles demonstrate that dealing with it correctly is very important. Biased results and inefficient estimates are just some of the risks of incorrectly dealing with incomplete data. The purpose of this course is to demonstrate the importance of dealing correctly with incomplete data; to formulate the missing data problem and to explain the best practices to deal with this problem. We therefore, will introduce incomplete data vocabulary, ad-hoc techniques (e.g. complete case analysis, single imputation), and principled procedures (e.g. maximum likelihood, Bayesian, multiple imputation) to deal with incomplete data. We will emphasize practical implementation of the proposed strategies, including discussion of software to implement procedures for incomplete data, and the advantages and disadvantages of different missing data methodologies. At the conclusion of this course, attendees should be able to understand the complications that arise from incomplete data; able to understand and state the missing data assumptions; and to analyze incomplete data. Prerequisites: course requires knowledge of standard statistical models such as the multivariate-normal, multiple linear regression, contingency tables, as well as basic maximum likelihood for common distributions.

3 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-152A
New Developments and Challenges for Dynamic Individualized Treatments — Invited Papers
Section on Statistical Learning and Data Science, IMS, Biometrics Section
Organizer(s): Annie Qu, UC Irvine
Chair(s): Annie Qu, UC Irvine
2:05 PM	Optimal Treatment Regime Estimation for a Target Population with Summary Statistics Only Wenbin Lu, North Carolina State University; Shu Yang, North Carolina State University; Jianing Chu, North Carolina State University
2:30 PM	Constructing Stabilized Dynamic Surveillance Rules for Optimal Monitoring Schedule Xinyuan Dong, Amazon Inc; Yingye Zheng, Fred Hutchinson Cancer Research Center; Yingqi Zhao, Fred Hutchinson Cancer Research Center
2:55 PM	A Proximal Temporal Consistency Approach for Infinite Horizon Dynamic Treatment Regime Ruoqing Zhu, University of Illinois at Urbana-Champaign
3:20 PM	Data adaptive estimation of individualized treatment strategies Ashkan Ertefaie, University of Rochester
3:45 PM	Floor Discussion

4 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-151B
Recent Advancements in Prior Elicitation and Computational Tools for Bayesian Design and Analysis — Invited Papers
Section on Bayesian Statistical Science, Biometrics Section, Biopharmaceutical Section
Organizer(s): Joseph G Ibrahim, University of North Carolina
Chair(s): Ethan Alt, Harvard University
2:05 PM	Practical Considerations in Power Prior: Interpretation and Software Advancements Fang Chen, SAS Institute Inc.; Frank G. Liu, Merck & Co., Inc
2:30 PM	The Scale-Transformed Power Prior for Use with Historical Data from a Different Outcome Model Joseph G Ibrahim, University of North Carolina; Brady G Nifong, University of North Carolina; Matthew A. Psioda, University of North Carolina at Chapel Hill
2:55 PM	A Hierarchical Prior for Generalized Linear Models Based on Predictions for the Mean Response Matthew A. Psioda, University of North Carolina at Chapel Hill; Joseph G Ibrahim, University of North Carolina; Ethan Alt, Harvard University
3:20 PM	Flexible Conditional Borrowing Approaches for Leveraging Historical Data in the Bayesian Design of Superiority Trials Wenlin Yuan, University of Connecticut; Ming-Hui Chen, University of Connecticut; John Zhong, REGENXBIO Inc.
3:45 PM	Floor Discussion

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

9 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-207B
Challenges in the Analysis of Spatially Resolved Cell Imaging Data — Invited Papers
WNAR, Biometrics Section, ENAR
Organizer(s): Debashis Ghosh, Colorado School of Public Health
Chair(s): Debashis Ghosh, Colorado School of Public Health
2:05 PM	Spatial Heterogeneity and Interactions in Pathology Images of Tumor Microenvironment Inna Chervoneva, Thomas Jefferson University
2:35 PM	Bioconductor Infrastructure for Analyzing Multiplex Single Cell Imaging Data in R Julia Wrobel, Colorado School of Public Health
3:05 PM	Cell Normalization and Phenotyping for Multiplexed Single-Cell Imaging Simon N Vandekar, Vanderbilt University Medical Center; Coleman R Harris, Vanderbilt University; Jiangmei Ruby Xiong, Vanderbilt University
3:35 PM	Floor Discussion

12 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-206
Opportunities and Challenges in the Use of External Control Arms in Drug Development — Invited Papers
Biopharmaceutical Section, Biometrics Section, Society for Clinical Trials
Organizer(s): Antara Majumdar, GSK
Chair(s): Antara Majumdar, GSK
2:05 PM	Leveraging External Data to Augment the Control Arm in Randomized Clinical Trials Ram Tiwari, Bristol Myers Squibb
2:30 PM	Propensity-Score-Integrated Priors: A Novel Strategy for Leveraging Real-World and Historical Data Junjing Lin, Takeda Pharmaceuticals; Margaret Gamalo , Pfizer Inc.; Ram Tiwari, Bristol Myers Squibb
2:55 PM	Learnings from Regulatory Feedback on RWE in Regulatory Submissions Prashni Paliwal, Flatiron Health
3:20 PM	External Control Arm (ECA) in Oncology Studies Helen Zhou, GSK; Antara Majumdar, GSK; Andrew Smith, GSK; Brielle Forsthoffer, GSK; Nicky Best, GSK; Tai-Tsang Chen, GSK
3:45 PM	Floor Discussion

18 * !	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-143C
New Models, Diagnostics, and Considerations in Evaluating Intervention and Policy Effects — Topic Contributed Papers
Health Policy Statistics Section, Biometrics Section, WNAR
Organizer(s): Maricela Cruz, Kaiser Permanente Washington Health Research Institute
Chair(s): Mary Ryan, Yale Center for Analytical Sciences
2:05 PM	No Free Lunch: A Noninferiority Approach to Model Assumption Tests Laura Hatfield, Harvard Medical School; Alyssa Bilinski, Brown University
2:25 PM	Assessing the Impact of Using County Versus State Level Outcomes Data in the Evaluation of State-Level Opioid Policies Beth Ann Ann Griffin, RAND Corporation; Elizabeth Stuart, Johns Hopkins University; Megan Schuler, RAND; Nabarun Dasgupta, Gillings School of Global Public Health; Rosalie Liccardo Pacula, University of Southern California, Los Angeles, CA 90089; David Powell, RAND
2:45 PM	Marginalized Three-Part Beta Interrupted Time Series Regression Models for Proportional Data Analysis Shangyuan Ye, Oregon Health and Science University
3:05 PM	A Mixed-Effects Interrupted Time Series Model for Assessing Complex Health Care Interventions Across Multiple Units Maricela Cruz, Kaiser Permanente Washington Health Research Institute ; Andrew Holbrook, UCLA Biostatistics; Daniel L Gillen, University of California Irvine
3:25 PM	A Parametric Bootstrapping Approach for Time Series Analysis in Large Claims Databases Fang Zhang, Harvard Pilgrim Health Care ; Meghan Mayhew, kaiser permanente center for health research; Frank Wharam, Duke University; Ladia Albertson-junkans, Kaiser Permanente Washington Health Research Institute; Arvind Ramaprasan, Kaiser Permanente Washington Health Research Institute
3:45 PM	Floor Discussion

21 *	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-203AB
Advances of Statistical Methodologies in Proteogenomic Research — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, International Indian Statistical Association
Organizer(s): Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai
Chair(s): Pei Wang, Icahn school of Medicine at Mount Sinai
2:05 PM	Multilevel Modeling Accounts for Diverse Sources of Variation in Proteomic Experiments with Complex Designs Olga Vitek, Northeastern University
2:25 PM	DAGBagM: Learning Directed Acyclic Graphs of Mixed Variables with an Application to Identify Protein Biomarkers for Treatment Response in Ovarian Cancer Shrabanti Chowdhury, Icahn school of Medicine at Mount Sinai; Ru Wang, University of California Davis; Jie Peng, University of California Davis; Pei Wang, Icahn school of Medicine at Mount Sinai
2:45 PM	BayesDeBulk: A Flexible Bayesian Algorithm for the Deconvolution of Bulk Tumor Data Francesca Petralia, Icahn School of Medicine at Mount Sinai
3:05 PM	HID Machine: A Random Forest-Based High Order Interaction Discovery Method for High-Dimensional Genomic Data Min Lu, University of miami; Yifan Sha, University of Miami; Xi Steven Chen, University of miami
3:25 PM	Modeling Genomic and Proteomic Signals for the Early Detection of Cancer Steven James Skates, Massachusetts General Hospital; Yiling Liu, Massachusetts General Hospital; Wenqing Jiang, Boston University School of Public Health; Bethan Powell, Kaiser-Permanente Northern California; Scott Lenttz, Kaiser-Permanente Southern California
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

29	Sun, 8/7/2022, 2:00 PM - 3:50 PM	CC-204A
Advances in Methods for Microbiome and Omics Data — Contributed Papers
Biometrics Section
Chair(s): Ashley Petersen, University of Minnesota
2:05 PM	Top-Scoring Pair Methods for Uncovering Metabolite Markers for Discriminating Diabetic Kidney Disease Stage Brian Kwan, University of California, Los Angeles; Daniel Montemayor, University of Texas Health San Antonio; Karen Messer, University of California, San Diego; Minya Pu, Moores Cancer Center, University of California, San Diego; Jing Zhang, Moores Cancer Center, University of California, San Diego; Loki Natarajan, University of California at San Diego (UCSD)
2:20 PM	Detecting Time-Dependent Effects in Genome-Wide Association Studies of Time-to-Event Phenotypes Hong Zhang, Merck & Co., Inc.; Lan Luo, Merck & Co., Inc.; Judong Shen, Merck & Co., Inc.
2:35 PM	Domain-Aware Batch Effect Quantification and Correction for Small Molecules Lisa Bramer, Pacific Northwest National Laboratory - Battelle; Kelly Stratton, Pacific Northwest National Laboratory; Jan Irvahn, Pacific Northwest National Laboratory
2:50 PM	SSMoRe: A Method for Sample Size Calculation in Microbiome Epidemiology Meghan Short, Harvard T. H. Chan School of Public Health; Paulo Manrique, Harvard T. H. Chan School of Public Health; Lauren McIver, Harvard T. H. Chan School of Public Health; Jeremy E. Wilkinson, Harvard T. H. Chan School of Public Health; Eric A. Franzosa, Harvard T. H. Chan School of Public Health; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
3:05 PM	Mixture Margin Random-Effects Copula Models for Conserved Microbial Co-Variations Rebecca A Deek, University of Pennsylvania; Hongzhe Lee, University of Pennsylvania
3:20 PM	Floor Discussion

42 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-150A
Recent Developments of Statistical Methods for Microbiome Research — Invited Papers
Biometrics Section, ENAR, Section on Statistical Learning and Data Science
Organizer(s): Gen Li, University of Michigan
Chair(s): Stephanie Garcia, Florida International University
4:05 PM	Deep Learning to Predict the Biosynthetic Gene Clusters in Bacterial Genomes Hongzhe Li, University of Pennsylvania
4:35 PM	A Bayesian Joint Model for Mediation Effect Selection in Compositional Microbiome Data Marina Vannucci, Rice University
5:05 PM	Phylogenetically Informed Bayesian Truncated Copula Graphical Models for Microbial Association Networks Presentation Irina Gaynanova, Texas A&M University; Hee Cheol Chung, Texas A&M University; Yang Ni, Texas A&M University
5:35 PM	Floor Discussion

53 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-143B
Considerations in Selection of the Appropriate Intercurrent Event Strategies for Estimands: Hypothetical vs. Composite vs. Treatment Policy — Topic Contributed Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Elena Polverejan, PhD, Janssen Research & Development, LLC
4:05 PM	Hypothetical Conversations: Which Estimand Strategies Are Clinically Relevant When Trial Participants Do Not Follow Clinically Relevant Protocol Guidelines? Bohdana Ratitch, Bayer Inc., Canada; Katrin Roth, Bayer
4:25 PM	Treatment Policy Estimation – Hidden Sources of Bias Michael Paul O'Kelly, IQVIA; Sylvia Siying Li, IQVIA
4:45 PM	Targeting Composite Estimands Using Trimmed Means Alex Ocampo, Novartis Pharma AG
5:05 PM	Discussant: Hsien-Ming 'James' Hung, PhD, U. S. FDA
5:25 PM	Discussant: Yongming Qu, PhD, Lilly
5:45 PM	Floor Discussion

54 * !	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-152A
Recent Advances in Categorical Data Analytics — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, Committee on Applied Statisticians
Organizer(s): Krishna K Saha, Central CT State University
Chair(s): Krishna K Saha, Central CT State University
4:05 PM	Joint Analysis of Binary and Continuous Data via Joint Modeling of Jittered Binary and Continuous Outcomes: A New Approach Mili Roy, University of Calgary; Alexander R. de Leon, University of Calgary; Tolulope Sajobi, University of Calgary; Rob Deardon, University of Calgary
4:25 PM	Bayesian Network Meta-Regression for Aggregate Ordinal Outcomes with Missing Categories Yeongjin Gwon, University of Nebraska Medical Center; Ming-Hui Chen, University of Connecticut; May Mo, Amgen; Xun Jiang, Amgen; Amy Xia, Amgen; Joseph G Ibrahim, University of North Carolina
4:45 PM	Should We Use Discrete Variable to Estimate Semiparametric Functional Coefficient Fixed Effects Panel Data Model? Shaymal Chandra Halder, University of Pennsylvania; Emir Malikov, University of Nevada at Las Vegas
5:05 PM	High-Dimensional Fixed Effects Profiling Models: New Developments and Applications Danh Nguyen, University of California, Irvine; Jason Estes, Moutain View; Damla Senturk, University of California, Los Angeles; Esra Kurum, University of California, Riverside
5:25 PM	Analysis of the Relative Risk Associated with Clustering Binary Data Gopal Nath, Murray State University; Krishna K Saha, Central CT State University; Suojin Wang, Texas A&M
5:45 PM	Floor Discussion

62	Sun, 8/7/2022, 4:00 PM - 5:50 PM	CC-144A
High-Dimensional Regression Methods — Contributed Papers
Biometrics Section
Chair(s): Wenzhu Mowrey, Albert Einstein College of Medicine
4:05 PM	A Two-Part Tweedie Model for Differential Analysis of Omics Data Arinjita Bhattacharyya, Merck & Co., Inc.; Himel Mallick, Merck Research Laboratories; Suvo Chatterjee, Merck
4:20 PM	Transfer Learning in High-Dimensional Linear Discriminant Analysis Haotian Zheng, University of Pennsylvania; Sai Li, Renmin University of China; Hongzhe Lee, University of Pennsylvania
4:35 PM	A New Class of Skewed Tensor Distributions Inkoo Lee, Rice University; Debajyoti Sinha, Florida State University; Qing Mai, Florida State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
4:50 PM	Estimating Overall Contribution of Transcriptome to the Variation of Cancer Survival Sung Duk Kim, NCI; Jianxin Shi, NCI
5:05 PM	Monitoring Sequential Structural Changes in Penalized High-Dimensional Linear Models Suthakaran Ratnasingam, California State University, San Bernardino; Wei Ning, Bowling, Green State University
5:20 PM	Inverse Free Ordinary Least Squares Estimates Vered Madar, .; Sandra Batista, Cedars-Sinai
5:35 PM	Improved Estimation in Some Multi-Mode Generalized Tensor Regression Models Under a Weak Dependence Structure Mai Ghannam, University of Windsor; Severien Nkurunziza, University of Windsor

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

83	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-143B
Frontiers in Analysis of Microbiome Data: From Methods to Applications — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Yijuan Hu, Emory University
Chair(s): Yijuan Hu, Emory University
8:35 AM	Tensor Reduced-Rank Regression with Incomplete Observations, with Application to Longitudinal Microbiome Analysis Gen Li, University of Michigan
9:00 AM	Effects of Differential Microbiome Volatility on Longitudinal Association Tests Anna Plantinga, Williams College; Daniel Park, Roivant Sciences
9:25 AM	Analysis of Microbiomes Associated with COVID-19 Diagnostic Testing Swabs with Respect to Disease Status and Severity Alexander V. Alekseyenko, Medical University of South Carolina
9:50 AM	Microbial Trend Analysis in Longitudinal Microbiome Study Huilin Li, New York University; Chan Wang, New York University
10:15 AM	Floor Discussion

85 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-150A
20 Years of Principal Stratification: Where to Now? — Invited Papers
Health Policy Statistics Section, Mental Health Statistics Section, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Booil Jo, Stanford University
Chair(s): Peng Ding, University of California Berkeley
8:35 AM	Jointly Utilizing Parametric and Nonparametric Identification of Principal Causal Effects Booil Jo, Stanford University
8:55 AM	The Role of Principal Stratification in Pharmaceutical Experimentation: The Estimand Strategy Fabrizia Mealli, University of Florence
9:15 AM	Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment Zhichao Jiang, University of Massachusetts Amherst
9:35 AM	Bridging Theory and Practice in Principal Stratification Presentation Fan Li, Duke University; Bo Liu, Duke University
9:55 AM	Discussant: Constantine Frangakis, Johns Hopkins University
10:15 AM	Floor Discussion

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

90 * !	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-143A
Dealing with Error-Prone Electronic Health Record Data via Validation Sampling — Invited Papers
Biometrics Section, Section on Statistics in Epidemiology, American Medical Informatics Association
Organizer(s): Bryan Shepherd, Vanderbilt University Medical Center
Chair(s): Bryan Shepherd, Vanderbilt University Medical Center
8:35 AM	Advantages of Multi-Wave, Multi-Frame Sampling Designs for Analysis of Error-Prone Data from Electronic Health Records Pamela Shaw, Kaiser Permanente Washington Health Research Institute; Thomas Lumley, University of Auckland; Bryan Shepherd, Vanderbilt University Medical Center
9:00 AM	Implementing an Optimal Multi-Wave Validation Design in a Multi-National HIV Research Cohort Gustavo Amorim, Vanderbilt University Medical Center; Bryan Shepherd, Vanderbilt University Medical Center
9:25 AM	SAT: A Surrogate-Assisted Two-Wave Case Boosting Sampling Method, with Application to EHR-Based Association Studies Yong Chen, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania; Xiaokang Liu, University of Pennsylvania; Jessica Chubak, Kaiser Permanente Washington Health Research Institute
9:50 AM	Double-Sampling in EHR-Based Studies Subject to Data That Is Missing-Not-At-Random Sebastien Haneuse, Harvard T.H. Chan School of Public Health; Alex Levis, Harvard T.H. Chan School of Public Health; Rajarshi Mukherjee, Harvard T.H. Chan School of Public Health; Rui Wang, Harvard T.H. Chan School of Public Health
10:15 AM	Floor Discussion

106	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-143C
New Statistical Models for Functional Data/ Longitudinal Data — Topic Contributed Papers
Section on Nonparametric Statistics, Biometrics Section
Organizer(s): Mengying You, University of Pennsylvania
Chair(s): Meng Xu, Regeneron Pharmaceuticals, Inc.
8:35 AM	A Nonparametric Mixed-Effects Mixture Model for Patterns of Clinical Measurements Associated with COVID-19 Xiaoran Ma, University of California, Santa Barbara; Wensheng Guo, University of Pennsylvania; Mengyang Gu, University of California, Santa Barbara; Len Usvyat, Fresenius Medical Care; Peter Kotanko, Renal Research Institute; Yuedong Wang, University of California, Santa Barbara
8:55 AM	Time-to-Event Analysis with Unknown Time Origins via Longitudinal Biomarker Registration Tianhao Wang, Rush University Medical Center
9:15 AM	Gaussian Copula Function-on-Scalar Regression in Reproducing Kernel Hilbert Space Haihan Xie, University of Alberta; Linglong Kong, University of Alberta
9:35 AM	Constructing Spline State Space Models from Generalized Taylor Expansions Mengying You, University of Pennsylvania; Wensheng Guo, University of Pennsylvania
9:55 AM	Analysis of Multivariate Non-Gaussian Functional Data: A Semiparametric Latent Process Approach Jiakun Jiang, Center for Statistics and Data Science, Beijing Normal University at Zhuhai; Huazhen Lin, Center of Statistical Research and School of Statistics, SWUFE; Qingzhi Zhong, Center of Statistical Research and School of Statistics, SWUFE; Yi Li , Department of Biostatistics, University of Michigan
10:15 AM	Floor Discussion

108	Mon, 8/8/2022, 8:30 AM - 10:20 AM	CC-141
Innovations in Testing and Inference — Contributed Papers
Biometrics Section
Chair(s): Chao Xing, UT Southwestern Medical Center
8:35 AM	Improved Inference for Doubly Robust Estimators of Heterogeneous Treatment Effects Heejun Shin, University of Florida; Joseph Antonelli, University of Florida
8:50 AM	Use of Previously Published Results for More Powerful Testing of Factors Related to Adverse Birth Outcomes Sergey Tarima, Division of Biostatistics, Medical College of Wisconsin; Wanlin Juan, Medical College of Wisconsin; Zhanna Zenkova, Tomsk State University; Mary Homan, Medical College of Wisconsin
9:05 AM	Permutation-Based Hypothesis Testing for Neural Networks Francesca Mandel, University of Pennsylvania; Ian Barnett, University of Pennsylvania
9:20 AM	Bayesian and Influence Function-Based Empirical Likelihoods for Inference of Sensitivity to the Early Diseased Stage in Diagnostic Tests Gengsheng Qin, Georgia State University; Yan Hai, Georgia State University; Shuangfei Shi, Georgia State University
9:35 AM	Robust Aggregation of P-Values with Unknown Dependency Structure for SNP-Set Test Yusi Fang, Univertisy of Pittsburgh; Chung Chang, National Sun Yat-sen University; Yongseok Park , Univertisy of Pittsburgh; George Tseng, Univertisy of Pittsburgh
9:50 AM	Alternative Test Procedures for Testing Homogeneity of the Risk Difference in Multiple Comparative Trials Krishna K Saha, Central CT State University; Soumik Banerjee, Binghamton University
10:05 AM	Comparing Forecast Predictive Accuracy Approaches for Finite Samples William John Best, Baylor University; Jane L Harvill, Baylor University

120 !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-102A
Recent Developments in Causal Inference — Invited Papers
IMS, Biometrics Section, ENAR
Organizer(s): Fei Xue, Purdue University
Chair(s): Fei Xue, Purdue University
10:35 AM	Energy Balancing of Covariate Distributions for Estimation of Causal Effects Jared Davis Huling, University of Minnesota; Simon Mak, Duke University
11:00 AM	Causal Inference with Invalid Instruments: Post-Selection Problems and a Solution Using Searching and Sampling Zijian Guo, Rutgers University
11:25 AM	Kernel Ordinary Differential Equations Xiaowu Dai, UC Berkeley; Lexin Li, University of California, Berkeley
11:50 AM	Randomization Inference Beyond the Sharp Null: Bounded Null Hypotheses and Quantiles of Individual Treatment Effects Xinran Li, University of Illinois at Urbana-Champaign
12:15 PM	Floor Discussion

123 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-144B
The Early Bird Catches the Worm: Sequential Decision-Making as a Framework in Time of COVID-19 Pandemic — Invited Papers
Caucus for Women in Statistics, Korean International Statistical Society, Biometrics Section
Organizer(s): Dong-Yun Kim, NHLBI/NIH
Chair(s): Yanhong Wu, California state university, Stanislaus
10:35 AM	Effects of Early Stopping Options on an Exponential Family Distribution Nancy Flournoy, University of Missouri; Sergey Tarima, Division of Biostatistics, Medical College of Wisconsin
10:55 AM	Application of Truncated Sequential Probability Ratio Test in Evaluating COVID-19 Vaccine Efficacy Presentation Vladimir Dragalin, Janssen Pharmaceutical Companies of Johnson & Johnson
11:15 AM	A Sequential Test of Treatment Effects Under Staggered Entry in a Multi-Center Clinical Trial Sung-Min Han, i2KIE LLC; Dong-Yun Kim, NHLBI/NIH
11:35 AM	Designing Vaccine Efficacy Trials with Interim Analyses Using Bayesian SPRT Erina Paul, Merck & Co., Inc.; Santosh Sutradhar, Merck & Co., Inc.; Jonathan Hartzel, Merck & Co., Inc.; Devan V. Mehrotra, Merck & Co., Inc.
11:55 AM	Discussant: William Rosenberger, George Mason University
12:15 PM	Floor Discussion

124 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-201
Innovative Development of Semiparametrics for Heterogeneous Causal Effects in Epidemiology — Invited Papers
Section on Statistics in Epidemiology, Section on Nonparametric Statistics, Biometrics Section
Organizer(s): Jiwei Zhao, University of Wisconsin-Madison
Chair(s): Trinetri Ghosh, University of Wisconsin-Madison
10:35 AM	Optimal Estimation of Average Treatment Effect on the Treated Under Endogeneous Treatment Assignment Jiwei Zhao, University of Wisconsin-Madison
11:00 AM	Semiparametric Inference for Causal Effects in Graphical Models with Hidden Variables Ilya Shpitser, Johns Hopkins University; Razieh Nabi, Emory University; Rohit Bhattacharya, Williams College
11:25 AM	Heterogeneous Causal Effects Estimation via Semiparametric Bayesian Models Xinyi Xu, The Ohio State University; Bo Lu, The Ohio State University; Steven MacEachern, The Ohio State University; Ling Wang, Michigan State University; Yuxuan Xin, The Ohio State University; Rui Zhang, The Ohio State University
11:50 AM	On the Role of Surrogates in the Efficient Estimation of Treatment Effects with Limited Outcome Data Xiaojie Mao, Tsinghua University; Nathan Kallus, Cornell University
12:15 PM	Floor Discussion

125 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-150B
Practical Recommendations for Prediction Modeling That Advance Innovation — Invited Papers
Section on Statistical Learning and Data Science, Biometrics Section, Health Policy Statistics Section
Organizer(s): Jaime Lynn Speiser, Wake Forest School of Medicine
Chair(s): Heather Shappell, Wake Forest School of Medicine
10:35 AM	Variable Selection with Random Forest: Choosing the Best Method for Different Types of Data Jaime Lynn Speiser, Wake Forest School of Medicine
10:55 AM	Current Methods for Evaluating Prediction Model Performance Michael W. Kattan, Cleveland Clinic
11:15 AM	Cross Validation for Small and Imbalanced Data Nathaniel O'Connell, Wake Forest School of Medicine
11:35 AM	Disseminating Prediction Methods: Avoiding Computational Bottlenecks and Developing User-Friendly APIs Byron Casey Jaeger, Wake Forest School of Medicine
11:55 AM	Discussant: Joseph Rigdon, Wake Forest School of Medicine
12:15 PM	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

133 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-207B
Equity in Innovation: Should Race and Ethnicity Be Included in Clinical Prediction Models and Algorithms? — Topic Contributed Papers
Biometrics Section, Justice Equity Diversity and Inclusion Outreach Group, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Yates Coley, Kaiser Permanente Washington Health Research Institute
Chair(s): Trang Nguyen, Johns Hopkins Bloomberg School of Public Health
10:35 AM	Implications of Race-Based Estimates of Kidney Function Leila Zelnick, University of Washington
10:55 AM	Incorporating Ethical Judgements into Measures and Causal Decompositions of Health Disparities John W Jackson, Johns Hopkins University; Trang Nguyen, Johns Hopkins Bloomberg School of Public Health; Ting-Hsuan Chang, Johns Hopkins Bloomberg School of Public Health
11:15 AM	FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng, Harvard University
11:35 AM	Evaluating the Clinical Impact of Racial/Ethnic Disparities in the Performance of Risk Prediction Models Aasthaa Bansal, University of Washington; Sara Khor, University of Washington
11:55 AM	Discussant: Stephanie Cook, New York University
12:15 PM	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

138 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-202B
Dose Optimization in Drug Development: Where We Are, and Where We Want to Be — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Health Policy Statistics Section
Organizer(s): Bo Huang, Pfizer Inc.
Chair(s): Bo Huang, Pfizer Inc.
10:35 AM	A Bayesian Predictive Platform Design for Proof of Concept and Dose-Finding Using Early and Late Endpoints Ruitao Lin, MD Anderson; Li Wang, Abbvie; Peter Thall, The University of Texas MD Anderson Cancer Center; Ying Yuan , the University of Texas MD Anderson Cancer Center
10:55 AM	Statistical Methods for Dose Optimization in Oncology; One Size Does Not Fit All Roberto Bugarini, Pfizer Inc.; Wei Zhong, Pfizer Inc.; Christophe Le Corre, Pfizer Inc.; Cynthia Basu, Pfizer Inc.; Ray Li, Pfizer Inc.
11:15 AM	Dose-Finding in Retinal Gene Therapy Trials – Optical Illusion or Not? Jialin Xu, Janssen; George Capuano, Janssen
11:35 AM	Data-Informed Oncology Dosing Decisions: Trade-Off Between Efficacy/Safety/Convenience Including a Case Study with a Bi-Specific Immunotherapy Erik Rasmussen, Amgen
11:55 AM	Bayesian Approaches to Identify Multiple Recommended Phase 2 Doses Erik Bloomquist, Ph.D.; Jianjin Xu, FDA/CDER
12:15 PM	Floor Discussion

139 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-202A
Improving Population Inference Using Statistical Data Integration — Topic Contributed Papers
Survey Research Methods Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch
Chair(s): Hormuzd Katki, National Cancer Institute
10:35 AM	Integrating Probability and Non-Probability Samples Through Machine Learning Based Methods Sixia Chen, University of Oklahoma Health Sciences Center; Chao Xu, University of Oklahoma Health Sciences Center; James Cutler, University of Oklahoma Health Sciences Center
10:55 AM	Functional Calibration Estimator for Non-Probability Sampling Presentation Zhonglei Wang, Xiamen University; Jae-kwang Kim, Iowa State University; Xiaojun Mao, Shanghai Jiao Tong University
11:15 AM	Nationally Representative Absolute Risk Estimation Combining Individual Data from Epidemiologic Studies and Population-Based Surveys with Summary Statistics from Disease Registry Lingxiao Wang, National Cancer Institute, DCEG, Biostatistics Branch; Yan Li, University of Maryland, College Park; Barry Graubard , National Cancer Institute (NCI); Hormuzd Katki, National Cancer Institute
11:35 AM	Embedded Multilevel Regression and Poststratification: Model-Based Inference with Incomplete Auxiliary Information Katherine Li, University of Michigan School of Public Health; Yajuan Si, University of Michigan
11:55 AM	Analysis of Data Combined from Multiple Sources in the Presence of Linkage Error Martin Slawski, George Mason University; Brady Thomas West, Institute for Social Research, University of Michigan-Ann Arbor; Emanuel Ben-David, United States Census Bureau
12:15 PM	Floor Discussion

142 * !	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-154B
Saved by Collaborative Statistics: Overcoming COVID-19 Challenges Through Multidisciplinary Team Work — Topic Contributed Panel
Section on Statistical Consulting, Biometrics Section
Organizer(s): C. Christina Mehta, Emory University School of Medicine
Chair(s): Renee Moore, Drexel University
10:35 AM	Saved by Collaborative Statistics: Overcoming COVID-19 Challenges Through Multidisciplinary Team Work
Panelists:	Ixavier A. Higgins, Eli Lilly and Company C. Christina Mehta, Emory University School of Medicine Sonja I. Ziniel , University of Colorado School of Medicine
12:10 PM	Floor Discussion

144	Mon, 8/8/2022, 10:30 AM - 12:20 PM	CC-204A
Methods for Missing and/or Misclassified Data — Contributed Papers
Biometrics Section
Chair(s): Xueliang Pan, The Ohio State University
10:35 AM	Missing Data Interpolation Among Cohorts with Disparate Covariate Information in the ECHO-Wide Cohort Amii Kress, Johns Hopkins University Bloomberg School of Public Health; Ekaterina Smirnova, Virginia Commonwealth University; Yongqi Zhong, Johns Hopkins Bloomberg School of Public Health; Xuejuan Ning, Johns Hopkins University Bloomberg School of Public Health; Rasha Alsaadawi, Virginia Commonwealth University; Jordan Kuiper, Johns Hopkins University Bloomberg School of Public Health; Mingyu Zhang, Johns Hopkins University Bloomberg School of Public Health; Lisa Jacobson, Johns Hopkins University Bloomberg School of Public Health; Bryan Lau, Johns Hopkins Bloomberg School of Public Health
10:50 AM	Exposure Measurement Error Correction in Longitudinal Studies with Discrete Outcomes Ce Yang, Harvard University; Molin Wang, Harvard T.H. Chan School of Public Health; Donna Spiegelman, Yale School of Public Health; Ning Zhang, University of North Carolina at Chapel Hill; Unnati Mehta, Harvard School of Public Health; Jamie Hart, Harvard School of Public Health
11:05 AM	WITHDRAWN Monte Carlo Expectation-Maximization Algorithm to Detect Imprinting and Maternal Effects for Discordant Sib-Pair Data Ruwani Rasanjali Herath Mudiyanselage, Texas Tech University; Fangyuan Zhang, Texas Tech University
11:20 AM	The PADAG App: Power Analysis and Data Augmentation with Patients Missing Genotypic Data for Precision Medicine Wei Zhuang, FDA; Joshua Xu, National Center for Toxicological Research/FDA
11:35 AM	Multiple Robustness in Missing Data Analysis Using Multiple Penalized Spline of Propensity Prediction Yu-Che Chung, University of Illinois Chicago; Sanjib Basu, Biostatistics, University of Illinois Chicago
11:50 AM	Restricted Gamma-Frailty Conditional Markov Model for Misclassification Semi-Competing Risks Data Ruiqian Wu, University of Nebraska Medical Center; Ying Zhang, University of Nebraska Medical Center; Giorgos Bakoyannis, Indiana University
12:05 PM	New Statistical Approach to Merge Multiple Longitudinal Data Sets with Missing Data Zhongzhe Ouyang, University of Michigan; Lu Wang, University of Michigan

160	Mon, 8/8/2022, 12:30 PM - 1:50 PM	CC-Ballroom Level South Prefunction
Biometrics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Biometrics Section
ML07:	Career as an Academic Statistician Within a Data Coordinating Center for an NIH-Funded Clinical Trials Network Valerie Durkalski-Mauldin, Medical University of South Carolina; Eva Petkova, NYU School of Medicine

190	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-202B
Novel Approaches for Assessment of Health Outcomes and Multi-Cohort Data Integration Using Wearable Devices in Large-Scale Biomedical Studies — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Lucia Tabacu , Old Dominion University
Chair(s): Erjia Cui, Johns Hopkins University
2:05 PM	A Nonparametric Approach to Isotemporal Substitution Regression John Staudenmayer, UMass-Amherst
2:25 PM	Harmonization of Open-Source and Proprietary Accelerometry-Based Physical Activity Measures Marta Karas, Johns Hopkins University; John Muschelli, Johns Hopkins University; Andrew Leroux, University of Colorado ; Jacek K. Urbanek, Johns Hopkins University; Amal A. Wanigatunga, Johns Hopkins University; Jiawei Bai, Johns Hopkins University; Ciprian M. Crainiceanua, Johns Hopkins University; Jennifer A. Schrack, Johns Hopkins University
2:45 PM	Modeling Health Outcomes Using Accelerometry Data Collected by Different Wearable Devices Ekaterina Smirnova, Virginia Commonwealth University
3:05 PM	Unraveling the Relationship Between Physical Activity and Health Using Wearable Sensors Charles E. Matthews, National Cancer Institute
3:25 PM	A Hidden Markov Modeling Approach Combining Objective Measure of Activity and Subjective Measure of Self-Reported Sleep to Estimate the Sleep-Wake Cycle Semhar Ogbagaber, Bristol Myers Squib; Yifan Cui, National University of Singapore; Kaigang Li, Colorado School of Public Health; Ronald Iannotti, The CDM Group, Bethesda; Paul S. Albert, National Cancer Institute
3:45 PM	Floor Discussion

196	Mon, 8/8/2022, 2:00 PM - 3:50 PM	CC-201
Biometrics Section Early-Career Paper Award Session — Topic Contributed Papers
Biometrics Section
Organizer(s): Pamela Shaw, Kaiser Permanente Washington Health Research Institute
Chair(s): Andrew J Spieker, Vanderbilt University Medical Center
2:05 PM	Proximal Causal Inference for Complex Longitudinal Studies Andrew Ying, University of Pennsylvania; Wang Miao, Peking University; Xu Shi, University of Michigan; Eric J Tchetgen Tchetgen, University of Pennsylvania
2:25 PM	Addressing Confounding and Continuous Exposure Measurement Error Using Conditional Score Functions Bryan Blette, University of Pennsylvania; Peter Gilbert, Fred Hutchinson Cancer Research Center, University of Washington; Michael Hudgens, University of North Carolina at Chapel Hill
2:45 PM	MASH: Mediation Analysis of Survival Outcome and High-Dimensional Omics Mediators with Application to Complex Diseases Sunyi N/A Chi, The University of Texas MD Anderson Cancer Center; Christopher R. Flowers, The University of Texas MD Anderson Cancer Center; Xuelin Huang, The University of Texas MD Anderson Cancer Center; Peng N/A Wei, The University of Texas MD Anderson Cancer Center
3:05 PM	SpaceX: Gene Coexpression Network Estimation for Spatial Transcriptomics Satwik Acharyya, University of Michigan; Xiang Zhou, University of Michigan; Veera Baladandayuthapani, University of Michigan
3:25 PM	DenVar: Density-Based Variation Analysis of Multiplex Imaging Data Souvik Seal, Colorado School of Public Health, CU Ansch
3:45 PM	Floor Discussion

223645	Mon, 8/8/2022, 5:30 PM - 7:30 PM	M-Monument
Biometrics Section Business Meeting and Mixer — Other Cmte/Business
Biometrics Section
Chair(s): Sebastien Haneuse, Harvard T.H. Chan School of Public Health

220 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-143B
Frontiers of Spatio-Temporal Statistical Learning in Health Care and Environmental Science — Invited Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Xinyi Li, Clemson University; Guannan Wang, College of William and Mary
Chair(s): Shan Yu, University of Virginia
8:35 AM	How Close and How Much? Linking Health Outcomes to Spatial Distributions of Built Environment Features Veronica J Berrocal, University of California
9:00 AM	Statistical Learning via Additive Partial Linear Spatial Regression Xinyi Li, Clemson University; Guanqun Cao, Auburn University; Lily Wang, George Mason University
9:25 AM	Spatial Automatic Subgroup Analysis for Areal Data with Repeated Measures Hao Helen Zhang, University of Arizona; Xin Wang, Miami University; Zhengyuan Zhu, Iowa State University
9:50 AM	A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States Yiwang Zhou, St. Jude Children's Research Hospital; Peter Song, University of Michigan
10:15 AM	Floor Discussion

222 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-207B
Cross-Disciplinary Research on Health Data Science — Invited Papers
National Institute of Statistical Sciences, ENAR, Biometrics Section
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
8:35 AM	Causal Inference Methods in Air Pollution Research Francesca Dominici, Harvard; Xiao Wu, Stanford
9:00 AM	Vaccine Safety Surveillance Using Routinely Collected Health Care Data: An Empirical Evaluation of Epidemiological Designs Marc A. Suchard, UCLA; Martijn J. Schuemie, Janssen Research and Development
9:25 AM	Context-Driven Statistical Models for Disease Progression in Cancer Studies Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan; Madeline Abbott, University of Michigan
9:50 AM	Discussant: James Landis Rosenberger, Penn State and NISS
10:15 AM	Floor Discussion

226 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-154A
Challenges and Opportunities for Funding Statistical Innovation — Invited Panel
Section on Statistics in Epidemiology, Biometrics Section, ENAR
Organizer(s): Charles B Hall, Albert Einstein College of Medicine
Chair(s): Charles B Hall, Albert Einstein College of Medicine
8:35 AM	Challenges and Opportunities for Funding Statistical Innovation
Panelists:	Dallas Wayne Anderson, National Institute on Aging, National Institutes of Health Kiros T Berhane, Columbia University Douglas Landsittel, Indiana University School of Public Health-Bloomington Michelle D Shardell, University of Maryland School of Medicine Donna Spiegelman, Yale School of Public Health Molin Wang, Harvard T.H. Chan School of Public Health
10:10 AM	Floor Discussion

230 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-143C
Recent Advances in Statistical Methods for Omics Data — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Hanfei Xu, Boston University
Chair(s): Hanfei Xu, Boston University
8:35 AM	Powerful, Scalable and Resource-Efficient Rare Variant Meta-Analysis of Whole-Genome Sequencing Studies Using Summary Statistics and Functional Annotations Xihao Li, Harvard T.H. Chan School of Public Health; Jerome I. Rotter, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center; Pradeep Natarajan, Massachusetts General Hospital; Gina M. Peloso, Boston University School of Public Health; Zilin Li, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard University
8:55 AM	Graph Laplacian Regularized Model for Cell Type Deconvolution in Spatial Transcriptomics Zuoheng Wang, Yale University
9:15 AM	Information-Incorporated Sparse Convex Clustering for Disease Subtyping Xiaoyu Zhang, Boston University; Ching-Ti Liu, Boston University
9:35 AM	R2-Based Mediation Analysis with High-Dimensional Omics Mediators Peng N/A Wei, The University of Texas MD Anderson Cancer Center; Tianzhong Yang, University of Minnesota; Sunyi N/A Chi, The University of Texas MD Anderson Cancer Center; Zhichao Xu, The University of Texas MD Anderson Cancer Center; Chunlin Li, University of Minnesota; Bin Shi, The University of Texas MD Anderson Cancer Center; Xuelin Huang, The University of Texas MD Anderson Cancer Center
9:55 AM	Detection of Pleiotropy in Mediation Analysis Based on Multivariable Mendelian Randomization Between Omics Layers and Complex Traits – Extending MR-PRESSO to Multivariable Setting Wenqing Jiang, Boston University School of Public Health; Daniel Levy, Boston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study; George T O’Connor, Boston University; Josée Dupuis, Boston University School of Public Health
10:15 AM	Floor Discussion

233 * !	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-144B
Statistical Considerations for Adjusting Overall Survival in Randomized Trials with Treatment Switching — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, International Statistical Institute
Organizer(s): Songzi Li, BeiGene, Ltd.
Chair(s): Hongqian Wu, BeiGene
8:35 AM	A Simulation Study of Treatment Switching Considering Delay Treatment Effect Songzi Li, BeiGene, Ltd.; Jiang Li, Ph.D
8:55 AM	The Least Bad Option: A Simulation Approach to Minimizing Bias When Accounting for Treatment Switching in RCTs Daniel Leibovitz, Bristol Myers Squibb; Alessandro Previtali, Bristol Myers Squibb; Revathi Ananthakrishnan, Bristol Myers Squibb; James Lymp, Bristol Myers Squibb
9:15 AM	Estimation of Treatment Effects and Model Diagnostics with Two-Way, Time-Varying Treatment Switching Qingxia Chen, Vanderbilt University Medical Center; Fan Zhang, Pfizer Inc., Groton, CT. This work was done at University of Connecticut.; Ming-Hui Chen, University of Connecticut; Xiuyu Julie Cong, Everest Medicines, Shanghai, China. This work was done at Boehringer Ingelheim Pharma.
9:35 AM	Bayesian Model for Overall Survival Analysis Allowing Treatment Switching in Oncology Trials Zhou Feng, FDA; Erik Bloomquist, Ph.D.
9:55 AM	Discussant: Chi Song, FDA
10:15 AM	Floor Discussion

242	Tue, 8/9/2022, 8:30 AM - 10:20 AM	CC-156
Semiparametric, Nonparametric, and Other Flexible Approaches — Contributed Papers
Biometrics Section
Chair(s): Gabriel J. Odom, Florida International University
8:35 AM	Semiparametric Approach to Estimation of Marginal and Quantile Effects Seong-ho Lee, Pennsylvania State University; Yanyuan Ma, Pennsylvania State University; Elvezio Ronchetti, University of Geneva, Switzerland
8:50 AM	Analyzing Observational Studies Subject to Unmeasured Confounding Using Bespoke Instruments Oliver Dukes, University of Pennsylvania; David Richardson, University of California Irvine; Eric J Tchetgen Tchetgen, University of Pennsylvania
9:05 AM	A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial Xinyuan Chen, Mississippi State University; Michael Oscar Harhay, The University of Pennsylvania; Guangyu Tong, Yale University; Fan Li, Yale School of Public Health
9:20 AM	Joint Modeling of Multivariate Nonparametric Longitudinal Data and Survival Data: A Local Smoothing Approach Lu You, University of South Florida; Peihua Qiu, University of Florida
9:35 AM	Novel Empirical Likelihood Inference for the Mean Difference with Right-Censored Data Kangni Alemdjrodo, Purdue University; Yichuan Zhao, Georgia State University
9:50 AM	Scan Statistics on Nonhomogeneous Poisson Processes, with Application in Copy Number Variation Tung-Lung Wu, Mississippi State Univesrity
10:05 AM	Application of Gamma Regression in Analyzing Quantitative Data in Biomedical Research Alok Kumar Dwivedi, Texas Tech University Health Sciences Center El Paso; Rakesh Shukla, University of Cincinnati

252	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-203AB
Novel Methods in Curve Registration for Functional Data — Invited Papers
Biometrics Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Julia Wrobel, Colorado School of Public Health
Chair(s): Jeff Goldsmith, Columbia University
10:35 AM	Multimodal Bayesian Registration of Noisy Functions Using an Elastic Metric James Derek Tucker, Sandia National Laboratories; Lyndsay Shand, Sandia National Laboratories; Kamaljit Derek Chowdhary, Sandia National Laboratories
11:00 AM	Bayesian Multilevel Curve Registration Zhenke Wu, University of Michigan, Ann Arbor; Julia Wrobel, Colorado School of Public Health; Jeff Goldsmith, Columbia University
11:25 AM	Simultaneous Warping and Clustering of Functional Electrocardiogram Wei Yang, University of Pennsylvania; Wensheng Guo, University of Pennsylvania
11:50 AM	Registration for Incomplete Non-Gaussian Functional Data Alexander Bauer, LMU Munich, Germany; Fabian Scheipl, LMU Munich, Germany; Helmut Küchenhoff, LMU Munich, Germany; Alice-Agnes Gabriel, LMU Munich, Germany
12:15 PM	Floor Discussion

256 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-143A
Statistical Advances for Heterogeneous Transcriptomics Data — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Jiebiao Wang, University of Pittsburgh
Chair(s): George Tseng, Univertisy of Pittsburgh
10:35 AM	Gaussian Graphical Model-Based Heterogeneity Analysis via Penalized Fusion Shuangge Ma, Yale University
11:00 AM	Accounting for Cell Type Hierarchy Improves Cell Type-Specific Differential Analyses Hao Wu, Emory University; Luxiao Chen, Emory University
11:25 AM	Global Network Learning Using Augmented High-Dimensional Graphical Lasso Model Katerina Kechris, University of Colorado Anschutz Medical Campus; Yonghua Zhuang, University of Colorado Anschutz Medical Campus
11:50 AM	On Statistical Methods for Data Harmonization in Molecular Prognostication Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University
12:15 PM	Floor Discussion

259 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-143B
Modern Statistical Methods for Structured Discovery in Large Biomedical Data — Invited Papers
ENAR, Biometrics Section, Section on Bayesian Statistical Science
Organizer(s): Veera Baladandayuthapani, University of Michigan
Chair(s): Veera Baladandayuthapani, University of Michigan
10:35 AM	Identifying Unobserved Mediators of High-Dimensional Phenotypes Using Empirical Bayes Matrix Decomposition Jean Morrison, University of Michigan; Jason Willwerscheid, University of Chicago; Matthew Stephens, University of Chicago; Xin He, University of Chicago
11:00 AM	Bayesian Cross-Study Factor Regression Approach Roberta De Vito, Brown University
11:25 AM	Bayesian Sparse Modeling to Identify High-Risk Subgroups Christine B. Peterson, University of Texas MD Anderson Cancer Center
11:50 AM	Bayesian Causal Discovery for Purely Observational Genomic Data Yang Ni, Texas A&M University
12:15 PM	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

271 * !	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-207B
Recent Statistical Advances of Handling Nonproportional Hazards in Study Design and Data Interpretation — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section
Organizer(s): Philip He, Daiichi Sankyo
Chair(s): Xiaofei Chen, Sanofi
10:35 AM	Hypothesis Testing Under Non-Proportion Hazards: Methodologic Challenges and Interpretations Jianghua He, University of Kansas Medical Center; Huan Cheng, University of Kansas Medical Center
10:55 AM	Adaptive Extension of Group-Sequential Time-to-Event Trials in the Presence of Non-Proportional Hazards Yue Shentu, Daiichi Sankyo Inc.; Yu Li, Merck & Co; Xieyang Jia, Merck & Co
11:15 AM	Delayed Separation of OS and PFS Kaplan Meier Curves Occurs in the Majority of IO Trials: A Meta-Analysis of Phase III Studies with Anti-PD-(L)1 Therapy Magdalena Watras, AstraZeneca; Philip He, Daiichi Sankyo; Nana Rokutanda, AstraZeneca; Jennifer Stocks, AstraZeneca
11:35 AM	Testing and Estimating Treatment Effect in the Presence of Delayed Onset of the Effect for Cancer Immunotherapies Chang Yu, Vanderbilt University Medical Center; Xiang Huang, Vanderbilt University Medical Center; Hui Nian, Vanderbilt University Medical Center; Philip He, Daiichi Sankyo
11:55 AM	Discussant: ZHENZHEN XU, FDA
12:15 PM	Floor Discussion

277	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-140B
SPEED: Biometrics and Environmental Statistics Part 1 — Contributed Speed
Biometrics Section, Section on Statistics and the Environment
Chair(s): Namhee Kim, Rush University Medical Center
10:35 AM	Sensitivity Analysis for Generalized Causal Mediation: Extending the GMediation R Package Jeffrey Albert, Case Western Reserve University; Jang Ik Cho, Eli Lilly and Company; Carly Rose, Case Western Reserve University
10:40 AM	Implementing Different Imputation Pipelines for High-Frequency Digital Biomarkers with Missing Data and Lower-Frequency Binary Outcomes Nicole Wakim, University of Michigan; Hiroko Dodge, Oregon Health and Science University; Zhenke Wu, University of Michigan, Ann Arbor; Tom Braun, University of Michigan
10:45 AM	Flexible Estimation of the Conditional Survival Function via Observable Regression Models Charles Jacob Wolock, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
10:50 AM	SMILE: Smart Representation of Single Cell RNA-Seq Data via Attention-Based Deep Multiple Instance Learning Jihwan Oh, Merck; John Kang, Merck; Alex Tamburino, Merck; Vladimir Svetnik, Merck Research Labs; Runzhe Li, John's Hopkins University
10:55 AM	Model Selection for Survival Individualized Treatment Rules Using the Jackknife Estimator Gilson D Honvoh, University of North Carolina at Chapel Hill; Hunyong Cho, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
11:00 AM	A Multiple Imputation Approach for Optimal Treatment Decision Rules Jenny Shen, University of Pennsylvania; Kristin Linn, University of Pennsylvania
11:05 AM	Meta-Analysis with Heterogeneity Clusters: An Application to Prevalence Estimation of Postmenopausal Bleeding Among Women with Endometrial Cancer Gregory Haber, National Institute of Standards and Technology; Andrew Leo Rukhin, National Institute of Standards and technology
11:10 AM	R Package AdjKM.CIF and Shiny Application for Creating the Covariate-Adjusted Kaplan-Meier and Cumulative Incidence Functions Biwei Cao, H. Lee Moffitt Cancer Center & Research Institute; Jonphil Kim, H. Lee Moffitt Cancer Center & Research Institute,University of South Florida
11:15 AM	On the Proportional Likelihood Ratio Model for Sparse Correlated Data Jiayi Tong, University of Pennsylvania; Yang Ning, Cornell University; Md Nazmul Islam, UnitedHealth Group; Annie Qu, UC Irvine; Yong Chen, University of Pennsylvania
11:20 AM	Comparison of Test Statistics for Regression Coefficients in the OLS, Ridge, Liu, and Kibria-Lukman Linear Regression Model: A Simulation Study Sergio Perez-Melo, Florida International University; Zoran Bursac, Florida International University; B.M. Golam Kibria, Florida International University
11:30 AM	Kidney Transplantation Outcome Predictions (KTOP): A Risk Prediction Tool for Kidney Transplants from Brain-Dead Deceased Donors Based on a Large European Cohort Gregor Miller, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
11:35 AM	Accommodating Heterogeneous Missing Data Patterns for Prostate Cancer Risk Prediction Matthias Neumair, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
11:40 AM	Spatial Classification in the Presence of Measurement Error Yuhan Ma, Baylor University; Kyuhee Shin, Kyungpook National University; GyuWon Lee, Kyungpook National University; Joon Jin Song, Baylor Univeristy
11:45 AM	The Performance of Boosting Methods on Air Quality Data Betül Kan-K?l?nç, Eski?ehir Technical University
11:50 AM	Bayesian Hierarchical Modeling of Tropical Storms and Their Damage Potential: A Data Driven Study Sakshi Arya, Penn State University
11:55 AM	A Spatio-Temporal Model for Arctic Sea Ice Alison Kleffner, University of Nebraska at Lincoln; Yawen Guan, University of Nebraska - Lincoln; Susan VanderPlas, University of Nebraska - Lincoln
12:00 PM	Improved Estimation of Inorganic Carbon in the North Atlantic Ocean with State Space Models Claire Boteler, Dalhousie University; Michael Dowd, Dalhousie University; Eric C. J. Oliver, Dalhousie University; Elias T. Krainski, King Abdullah University of Science and Technology; Douglas W. R. Wallace, Dalhousie University
12:05 PM	A Spatio-Temporal Dynamic Cellular Automata Model for Fire Spread Nicholas Grieshop, University of Missouri
12:10 PM	Frequency Separated Periodic Block Bootstrapping: Consistency and Robustness for Periodic Characteristics of Time Series Edward Valachovic, University at Albany, State University of New York
12:15 PM	A Deep Gaussian Process Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Walsh, Virginia Tech; Marco Ferreira, Virginia Tech; David Higdon, Virginia Tech; Stephanie Zick, Virginia Tech; Annie Sauer, Virginia Tech

291	Tue, 8/9/2022, 10:30 AM - 12:20 PM	CC-Hall D
Contributed Poster Presentations: Biometrics Section — Contributed Poster Presentations
Biometrics Section
Chair(s): Gyuhyeong Goh, Kansas State University
34:	Epigenetic Predictors of Maximum Lifespan and Other Life History Traits in Mammals Caesar Z Li, University of California, Los Angeles
35:	Improving Imputation: Adjusting for the Error Incurred When Imputing Censored Covariates Kyle F. Grosser, University of North Carolina at Chapel Hill; Sarah C. Lotspeich, University of North Carolina at Chapel Hill; Tanya P. Garcia, University of North Carolina at Chapel Hill
36:	A Small-Sample Correction to Simultaneous Confidence Intervals of Odds Ratios Bo Li, The Citadel, The Military College of South Carolina
37:	Estimating Sample Size Recommendations for SMART Studies via the Bayesian "Two Priors" Approach Armando Turchetta, McGill University
38:	Utilization and Comparison of Restricted Mean Survival and Piecewise Cox Model: Analyzing the Effect of Neoadjuvant Chemotherapy in Patients with Resectable Pancreatic Cancer Pingfu Fu, Case Western Reserve University; Shufen Cao, Case Western Reserve University; Fang Liu, Case Western Reserve University; David Bajor, Case Western Reserve University; Yufei Li, Case Western Reserve University
39:	Monitoring Ongoing Clinical Trials Under Fractional Brownian Motion with Drift Peng Zhang, CIMS Global LLC; Tai Xie, CIMS Global LLC; Yong Lin, Rutgers University; Weichung Joe Shih, Rutgers University; K. K. Gordon Lan, Rutgers University
40:	Semiparametric Analysis of Survival Data Using SBART Piyali Basak, Merck Pharmaceuticals; Antonio R. Linero, University of Texas at Austin; Debajyoti Sinha, Florida State University; Stuart Lipsitz, Brigham and Women's Hospital
41:	Stabilized Direct Learning for Efficient Estimation of Individualized Treatment Rules Kushal S Shah, University of North Carolina at Chapel Hill; Haoda Fu, Eli Lilly and Company; Michael Kosorok, University of North Carolina at Chapel Hill

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

320 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-202B
Innovative Approaches for Modeling Time-to-Event Data in the Presence of Competing Risks and/or Time-Varying Covariates — Topic Contributed Papers
Biometrics Section, Section on Statistics in Epidemiology, ENAR
Organizer(s): Mulugeta Gebregziabher, Medical University of South Carolina; Ralph Ward, Heath Equity and Rural Outreach Innovation Center, Ralph H. Johnson VAMC
Chair(s): Valerie Durkalski-Mauldin, Medical University of South Carolina
2:05 PM	Weighted Least-Squares Regression with Competing Risks Data Dipankar Bandyopadhyay, Virginia Commonwealth University; Sangbum Choi, Korea University, Seoul, South Korea; Taehwa Choi, Korea University; Hyunsoon Choi, National Cancer Center, South Korea
2:25 PM	Incorporating Cross-Sectional Information into a Joint Model of Longitudinal and Survival Data Using a Power Prior Juned Siddique, Northwestern University Feinberg School of Medicine; Michael Daniels, University of Florida; Hongyan Ning, Northwestern University Feinberg School of Medicine; Norrina Allen, Northwestern University Feinberg School of Medicine; John Wilkins, Northwestern University Feinberg School of Medicine; Donald Lloyd-Jones, Northwestern University Feinberg School of Medicine
2:45 PM	Modeling Severe Liver Disease Outcomes and History of FIB-4 in the Presence of Competing Risks and Time-Varying Covariates Mulugeta Gebregziabher, Medical University of South Carolina; Andrew D Schreiner, MUSC; Jingwen Zhang, MUSC; David G Koch, MUSC; Patrick D Mauldin, MUSC; William P Moran, MUSC
3:05 PM	Multinomial Logistic Regression and Prediction Accuracy for Interval-Censored Competing Risks Data Yu Cheng, University of Pittsburgh; Yongli Shuai, University of Pittsburgh; Jong H Jeong, University of Pittsburgh
3:25 PM	Prediction Performance Statistics for Competing Risk Cox Models with Time-Varying Covariates Ralph Ward, Heath Equity and Rural Outreach Innovation Center, Ralph H. Johnson VAMC; Mulugeta Gebregziabher, Medical University of South Carolina
3:45 PM	Floor Discussion

322 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-143A
Novel Statistical Methods and Applications in Precision Mental Health — Topic Contributed Papers
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Eva Petkova, NYU School of Medicine
2:05 PM	Predicting Antidepressant Response Rate Profiles from High-Dimensional and Multimodal Data Using Ensemble Methods Adam Ciarleglio, George Washington University
2:25 PM	Precision Health Treatment Decision Rules Optimization in Mental Health Using Longitudinal Outcome Trajectories Thaddeus Tarpey, New York University; Lanqiu Yao, New York University School of Medicine
2:45 PM	Bayesian Index Models for Heterogeneous Treatment Effects Hyung G. Park, NYU School of Medicine; Danni Wu, NYU School of Medicine; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, New York University; R. Todd Ogden, Columbia University
3:05 PM	Covariate-Adjusted Value-Guided Subgroup Identification via Boosting Jinchun Zhang, Merck & Co.; Pingye Zhang, Beigene; Junshui Ma, Merck & Co.; Yue Shentu, Daiichi Sankyo Inc.
3:45 PM	Floor Discussion

323 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-201
Adaptive Enrichment Designs in Clinical Trials — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Daniel Zhao, University of Oklahoma
Chair(s): Daniel Zhao, University of Oklahoma
2:05 PM	Adaptive Designs with Modified Testing Hierarchy at the Interim George Kordzakhia, Astra Zeneca; Cassie Dong, Takeda ; Eiji Ishida, Sunovion
2:25 PM	A Bayesian Group Sequential Enrichment Design with Adaptive Regression of Response and Survival Time on Baseline Biomarkers Presentation Peter Thall, The University of Texas MD Anderson Cancer Center; Yeonhee Park, University of Wisconsin-Madison; Suyu Liu, The University of Texas MD Anderson Cancer Center; Ying Yuan , the University of Texas MD Anderson Cancer Center
2:45 PM	Overview of Existing Methods for Biomarker-Driven Adaptive Designs Ilya Lipkovich, Eli Lilly and Company; Sarah Johnston, Bristol-Myers Squibb; Alex Dmitrienko, Mediana, Inc; Daniel Zhao, University of Oklahoma
3:05 PM	Decision Theoretic Approaches for the Design of Adaptive Enrichment and Umbrella Trials Martin Posch, Medical University of Vienna
3:25 PM	Discussant: Brian Wiens, ACELYRIN, INC.
3:45 PM	Floor Discussion

326 * !	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-206
Exploring the Impact of Air Pollution on Alzheimer's Disease and Other Indicators of Dementia — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistics and the Environment, Biometrics Section
Organizer(s): Richard Smith, University of North Carolina Chapel Hill
Chair(s): Benjamin Leinwand, UNC
2:05 PM	Epidemiology of Air Pollution, Dementia, and Related Outcomes: What Do We Know? Melinda Power, George Washington University
2:25 PM	Accounting for Bias Due to Attrition in Analyses of Cognitive Aging: Concepts and Application Jennifer Weuve, Boston University School of Public Health; Ryan Andrews, Boston University School of Public Health
2:45 PM	Air Quality Modeling for Exposure Assessment Qi Ying, Texas A&M University; Xiaohui Xu, Texas A&M University; Eun Sug Park, TTI; Richard Smith, University of North Carolina Chapel Hill; Eric Whitsel, University of North Carolina at Chapel Hill; James Stewart, University of North Carolina at Chapel Hill; Melinda Power, George Washington University
3:05 PM	Understanding Critical Windows of Exposure in Longitudinal Analysis of Air Pollution and Cognitive Function Xiaohui Xu, Texas A&M University; Eric Whitsel, University of North Carolina at Chapel Hill; Qi Ying, Texas A&M University; Richard Smith, University of North Carolina Chapel Hill; James Stewart, University of North Carolina at Chapel Hill; Eun Sug Park, TTI; Erin Bennett, George Washington University; Katie Lynch, George Washington University; Melinda Power, George Washington University; Vixey Fang, Texas A&M University; Xiaohui Xu, Texas A&M University
3:25 PM	Accounting for Exposure Measurement Error in Air Pollution and Neuroimaging Analysis Eun Sug Park, TTI; Richard Smith, University of North Carolina Chapel Hill; Xiaohui Xu, Texas A&M University; Eric Whitsel, University of North Carolina at Chapel Hill; James Stewart, University of North Carolina at Chapel Hill; Qi Ying, Texas A&M University; Katie Lynch, George Washington University; Erin Bennett, George Washington University; Melinda Power, George Washington University
3:45 PM	Floor Discussion

330	Tue, 8/9/2022, 2:00 PM - 3:50 PM	CC-204A
Advances in Time-to-Event and Survival Methods — Contributed Papers
Biometrics Section
Chair(s): Jing Wang, University of Utah
2:05 PM	General Regression Model for the Marginal Mean of a Recurrent Event with Competing Terminal Events Anna Bellach, National Institute of Health
2:20 PM	Maximum Likelihood Estimation in Single-Index Mixture Cure Models in the Presence of a Vector Covariate Beatriz Piñeiro Lamas, Universidade da Coruña (UDC); Ana López Cheda, Universidade da Coruña (UDC); Ricardo Cao Abad, Universidade da Coruña (UDC)
2:35 PM	Dynamic Prediction of AMD Progression Using Longitudinal Fundus Images Through Deep Survival Neural Network Lang Zeng, University of Pittsburgh; Jipeng Zhang, University of Pittsburgh; Wei Chen, University of Pittsburgh; Ying Ding, University of Pittsburgh
2:50 PM	Transformation Model Based Regression with Dependently Truncated and Independently Censored Data Jing Qian, University of Massachusetts, Amherst; Steven Chiou, University of Texas at Dallas; Rebecca A. Betensky, New York University
3:05 PM	Regression Analysis of a Future State and Entry Time Distribution Conditional on a Past State in a Progressive Multistate Model with Right Censored Data Yuting Yang, University of Florida; Somnath Datta, University of Florida
3:20 PM	Prediction of Breast Cancer Risk Following Radiotherapy Among Hodgkin Lymphoma Survivors Using Dose Distribution Data Sander Roberti, The Netherlands Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Flora E van Leeuwen, The Netherlands Cancer Institute; Michael Hauptmann, Brandenburg Medical School Theodor Fontane
3:35 PM	Dynamic Prediction Frameworks for Functional Latent Trait Models Dongrak Choi, Duke University; Sheng Luo, Duke University

352	Tue, 8/9/2022, 2:00 PM - 2:45 PM	CC-Hall D
SPEED: Biometrics and Environmental Statistics Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Statistics and the Environment
Chair(s): Namhee Kim, Rush University Medical Center
01:	Sensitivity Analysis for Generalized Causal Mediation: Extending the GMediation R Package Jeffrey Albert, Case Western Reserve University; Jang Ik Cho, Eli Lilly and Company; Carly Rose, Case Western Reserve University
02:	Implementing Different Imputation Pipelines for High-Frequency Digital Biomarkers with Missing Data and Lower-Frequency Binary Outcomes Nicole Wakim, University of Michigan; Hiroko Dodge, Oregon Health and Science University; Zhenke Wu, University of Michigan, Ann Arbor; Tom Braun, University of Michigan
03:	Flexible Estimation of the Conditional Survival Function via Observable Regression Models Charles Jacob Wolock, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
04:	SMILE: Smart Representation of Single Cell RNA-Seq Data via Attention-Based Deep Multiple Instance Learning Jihwan Oh, Merck; John Kang, Merck; Alex Tamburino, Merck; Vladimir Svetnik, Merck Research Labs; Runzhe Li, John's Hopkins University
05:	Model Selection for Survival Individualized Treatment Rules Using the Jackknife Estimator Gilson D Honvoh, University of North Carolina at Chapel Hill; Hunyong Cho, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
06:	A Multiple Imputation Approach for Optimal Treatment Decision Rules Jenny Shen, University of Pennsylvania; Kristin Linn, University of Pennsylvania
07:	Meta-Analysis with Heterogeneity Clusters: An Application to Prevalence Estimation of Postmenopausal Bleeding Among Women with Endometrial Cancer Gregory Haber, National Institute of Standards and Technology; Andrew Leo Rukhin, National Institute of Standards and technology
08:	R Package AdjKM.CIF and Shiny Application for Creating the Covariate-Adjusted Kaplan-Meier and Cumulative Incidence Functions Biwei Cao, H. Lee Moffitt Cancer Center & Research Institute; Jonphil Kim, H. Lee Moffitt Cancer Center & Research Institute,University of South Florida
09:	On the Proportional Likelihood Ratio Model for Sparse Correlated Data Jiayi Tong, University of Pennsylvania; Yang Ning, Cornell University; Md Nazmul Islam, UnitedHealth Group; Annie Qu, UC Irvine; Yong Chen, University of Pennsylvania
10:	Comparison of Test Statistics for Regression Coefficients in the OLS, Ridge, Liu, and Kibria-Lukman Linear Regression Model: A Simulation Study Sergio Perez-Melo, Florida International University; Zoran Bursac, Florida International University; B.M. Golam Kibria, Florida International University
11:	Kidney Transplantation Outcome Predictions (KTOP): A Risk Prediction Tool for Kidney Transplants from Brain-Dead Deceased Donors Based on a Large European Cohort Gregor Miller, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
12:	Accommodating Heterogeneous Missing Data Patterns for Prostate Cancer Risk Prediction Matthias Neumair, Technical University of Munich; Donna P. Ankerst, Technical University of Munich
13:	Spatial Classification in the Presence of Measurement Error Yuhan Ma, Baylor University; Kyuhee Shin, Kyungpook National University; GyuWon Lee, Kyungpook National University; Joon Jin Song, Baylor Univeristy
14:	The Performance of Boosting Methods on Air Quality Data Betül Kan-K?l?nç, Eski?ehir Technical University
15:	Bayesian Hierarchical Modeling of Tropical Storms and Their Damage Potential: A Data Driven Study Sakshi Arya, Penn State University
16:	A Spatio-Temporal Model for Arctic Sea Ice Alison Kleffner, University of Nebraska at Lincoln; Yawen Guan, University of Nebraska - Lincoln; Susan VanderPlas, University of Nebraska - Lincoln
17:	Improved Estimation of Inorganic Carbon in the North Atlantic Ocean with State Space Models Claire Boteler, Dalhousie University; Michael Dowd, Dalhousie University; Eric C. J. Oliver, Dalhousie University; Elias T. Krainski, King Abdullah University of Science and Technology; Douglas W. R. Wallace, Dalhousie University
18:	A Spatio-Temporal Dynamic Cellular Automata Model for Fire Spread Nicholas Grieshop, University of Missouri
19:	Frequency Separated Periodic Block Bootstrapping: Consistency and Robustness for Periodic Characteristics of Time Series Edward Valachovic, University at Albany, State University of New York
20:	A Deep Gaussian Process Framework to Quantify Uncertainty of Tropical Cyclone Precipitation Forecasts Stephen Walsh, Virginia Tech; Marco Ferreira, Virginia Tech; David Higdon, Virginia Tech; Stephanie Zick, Virginia Tech; Annie Sauer, Virginia Tech

372 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-101
Statistical Methods for Microbiome Data Analysis — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Shulei Wang, University of Illinois at Urbana-Champaign
Chair(s): Bo Yuan, University of Illinois at Urbana-Champaign
8:35 AM	Robust Differential Abundance Test in Compositional Data Presentation Shulei Wang, University of Illinois at Urbana-Champaign
8:55 AM	Subcommunity Learning and Dynamic Modeling for Microbiome Compositions Through the Logistic-Tree Normal Model Li Ma, Duke University; Patrick LeBlanc, Duke University; Morris Greenberg, University of Toronto; Zhuoqun Wang, Duke University
9:15 AM	Bias Resistant Modeling of Microbiome Relative Abundance Ni Zhao, Johns Hopkins University; Mo Li, Johns Hopkins University; Glen Satten, Emory University
9:35 AM	Conditional Randomization Testing for High-Dimensional and Compositional Microbiome Data Siyuan Ma, University of Pennsylvania; Curtis Huttenhower, Harvard T.H. Chan School of Public Health; Lucas Janson, Harvard University
9:55 AM	A New Approach for Differential Abundance Analysis of Microbiome Compositional Data Jun Chen, Mayo Clinic
10:15 AM	Floor Discussion

375 * !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-203AB
Causal Estimand in Clinical Trials — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, Health Policy Statistics Section
Organizer(s): Lei Nie, U. S. FDA
Chair(s): Frank Bretz, Novartis
8:35 AM	Covariate Adjustment and Missing Data in Clinical Trials Daniel Rubin, U.S. Food and Drug Administration
8:55 AM	Estimating the Average Treatment Effect in Randomized Clinical Trials with All-or-None Compliance Zhiwei Zhang, National Cancer Institute/National Institutes of Health; Zonghui Hu, National Institutes of Health; Dean Follmann, National Institute of Allergy and Infectious Diseases; Lei Nie, U. S. FDA
9:15 AM	Estimands and Their Estimators for Clinical Trials Impacted by the COVID-19 Pandemic Kelly Van Lancker, Johns Hopkins University, Bloomberg School of Public Health, US and Ghent University, Belgium; Sergey Tarima, Division of Biostatistics, Medical College of Wisconsin; Jonathan Bartlett, University of Bath; Madeline Bauer, Division of Infectious Diseases, Keck School of Medicine, University of Southern Californi; Bharani Bharani-Dharan, Novartis Pharmaceuticals; Frank Bretz, Novartis; Nancy Flournoy, University of Missouri; Hege Michiels, Ghent University; Camila Olarte Parra, University of Bath; James Landis Rosenberger, Penn State and NISS; Suzie Cro, Imperial Clinical Trials Unit, Imperial College London
9:35 AM	Discussant: Wanjie Sun, The US FDA
9:55 AM	Discussant: Tianmeng Lyu, Novartis
10:15 AM	Floor Discussion

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

381 !	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-144B
Recent Advances in High-Dimensional Estimation and Inference Methods — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Emily Charlotte Hector, North Carolina State University; Lu Xia, University of Washington
Chair(s): Emily Charlotte Hector, North Carolina State University
8:35 AM	High-Dimensional Change-Point Detection Using Generalized Homogeneity Metrics Shubhadeep Chakraborty, University of Washington
8:55 AM	Theoretical Foundations of T-SNE for Visualizing High-Dimensional Clustered Data Rong Ma, Stanford University; Tony Cai, University of Pennsylvania
9:15 AM	Two-Sample Hypothesis Testing for Multiple-Network Data Yinqiu He, Columbia University
9:35 AM	Statistical Inference for Correlated Data with High-Dimensional Covariates Lu Xia, University of Washington; Ali Shojaie, University of Washington
9:55 AM	Debiased Inference on Heterogeneous Quantile Treatment Effects with Regression Rank-Scores Alexander Giessing, University of Washington; Jingshen Wang, UC Berkeley
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

387	Wed, 8/10/2022, 8:30 AM - 10:20 AM	CC-204C
Innovative Functional and Quantile Methods — Contributed Papers
Biometrics Section
Chair(s): Xiaoqiang Xue, Syneos Health
8:35 AM	Bayesian Sparse Functional Fused Regression for Non-Gaussian Data PhilGeun Jin, Virginia Tech; Inyoung Kim, Virginia Tech
8:50 AM	Quantiles-Based Personalized Treatment Selection for Multivariate Outcomes and Multiple Treatments Chathura Siriwardhana, University of Hawaii; K.B. Kulasekera, University of Louisville
9:05 AM	Dynamic Prediction of Alzheimer’s Disease by Integrative Analysis of Multi-Omics Data and Longitudinal Outcomes Yuanyuan Guo, Duke University; Sheng Luo, Duke University
9:20 AM	A Quantile Regression Based Method for Evaluating Intervention Effects on Risk-Specific Lifestyle Behavioral Patterns MinJae Lee, University of Texas Southwestern; Belinda M Reininger, University of Texas School of Public Health in Brownsville; Kelley P Gabriel, University of Alabama at Birmingham; Nalini Ranjit, University of Texas School of Public Health-Austin Regional Campus; Larkin L Strong, University of Texas MD Anderson Cancer Center
9:35 AM	SPF: A Spatial and Functional Data Analytic Approach to Cell Imaging Data Thao Vu, University of Colorado Anschutz Medical Campus
9:50 AM	Floor Discussion

399 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-159AB
Pragmatic Innovations in Clinical Trial Designs: Key to Real Applications — Invited Papers
ENAR, WNAR, Biometrics Section
Organizer(s): Xiaoyun (Nicole) Li, BeiGene
Chair(s): Meihua Wang, Alkermes
10:35 AM	When Convention Meets Practicality: Pooled Analysis Testing Under the Two-Trial Paradigm Presentation Dong Xi, Gilead; Frank Bretz, Novartis
11:00 AM	Propensity-Score-Based Meta-Analytic Predictive Prior for Incorporating Real-World and Historical Data Jianchang Lin, Takeda Pharmaceuticals; Meizi Liu, University of Chicago; Veronica Bunn, Takeda Pharmaceuticals; Bradley Hupf, Takeda Pharmaceuticals; Junjing Lin, Takeda Pharmaceuticals
11:25 AM	Application of Group Sequential Methods to 2-in-1 Design Cong Chen, Merck & Co., Inc.
11:50 AM	Discussant: Sue-Jane Wang, FDA
12:15 PM	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

402 *	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-154B
Advances in Statistical Methods for Wearable and Mobile Health Data Analysis — Invited Papers
Biometrics Section, Section on Nonparametric Statistics, ENAR
Organizer(s): Ekaterina Smirnova, Virginia Commonwealth University
Chair(s): Ekaterina Smirnova, Virginia Commonwealth University
10:35 AM	Functional Data Methods for Wearable Device Data Jeff Goldsmith, Columbia University
10:55 AM	Associating Objectively Measured Multiday Diurnal Activity Patterns with Scalar Outcomes Andrew Leroux, University of Colorado
11:15 AM	Fast Multilevel Functional Principal Component Analysis Erjia Cui, Johns Hopkins University ; Ruonan Li, North Carolina State University; Ciprian M. Crainiceanua, Johns Hopkins University; Luo Xiao, North Carolina State University
11:35 AM	Treatment Effect Estimation of Multiday Activity Distribution Under Random Assignments Jingru Zhang, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Hongzhe Lee, University of Pennsylvania
11:55 AM	Optimal Adaptive Interventions with Unobserved Treatment Fatigue Joseph Lawson, Duke University; Eric Laber, Duke University; Min Qian, Columbia Universityh
12:15 PM	Floor Discussion

412 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-153
Emerging Challenges and Novel Methods for Treatment Benefit Evaluation — Topic Contributed Papers
Section on Statistical Consulting, Biometrics Section
Organizer(s): Zonghui Hu, National Institutes of Health
Chair(s): Misrak Gezmu, National Institutes of Health
10:35 AM	PAVA-Assisted Learning with Application on Estimating Optimal Individualized Treatment Regimes Baojiang Chen, University of Texas Health Science Center at Houston; Ao Yuan, Georgetown University; Jing Qin, Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases
10:55 AM	An Inverse Probability Weighting Approach to Estimate Treatment Effects in a Clinical Trial with Differential Treatment Discontinuation Presentation Nicole M. Butera, The George Washington University; Naji Younes, The George Washington University; John M. Lachin, The George Washington University
11:15 AM	Functional ANOVA on Biorhythm-Adjusted Physical Activity via Curve Registration Using Wearable Device Measured Data Yei Eun Shin, National Cancer Institute
11:35 AM	Treatment Effect in Randomized Trials with Noncompliance Zonghui Hu, National Institutes of Health; Zhiwei Zhang, National Cancer Institute/National Institutes of Health; Dean Follmann, National Institute of Allergy and Infectious Diseases
11:55 AM	Restricted Mean Survival Time for Quantifying the Between-Group Difference with Time-to-Event Outcomes Lihui Zhao, Northwestern University
12:15 PM	Floor Discussion

418 * !	Wed, 8/10/2022, 10:30 AM - 12:20 PM	CC-206
Statistical Methods for Single Cell Genomics and Spatial Transcriptomics — Topic Contributed Papers
International Indian Statistical Association, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Satabdi Saha, Michigan State University
Chair(s): Vojtech Kejzlar, Skidmore College
10:35 AM	Joint Analyses of Single-Cell, Spatial Transcriptomic, and MERFISH Data for Mammalian Germ Cell Development Jun Li, University of Michigan
10:55 AM	Machine Learning for Modeling Dynamics in the Tumor Microenvironment Elham Azizi, Columbia University
11:15 AM	Statistical Analysis of Single Cell RNA Sequencing (ScRNA-Seq) Data Susmita Datta, University of Florida; Michael Sekula, University of Louisville; Jeremy Gaskins, University of Louisville
11:35 AM	Multiview Graph Learning for Single-Cell RNA Sequencing Data Satabdi Saha, Michigan State University; Abdullah Karaaslanli, Michigan State University; Selin Aviyente, Michigan State University; Tapabrata Maiti, Michigan State University
11:55 AM	Bayesian Analysis of Single-Nuclei Dose Response Data Samiran Sinha, Texas A&M University; Tapabrata Maiti, Michigan State University; Satabdi Saha, Michigan State University
12:15 PM	Floor Discussion

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

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

476 !	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-201
Beyond Propensity Scores: Novel Techniques in Utilizing Real-World Data in Clinical Trials — Topic Contributed Papers
ENAR, Health Policy Statistics Section, Biometrics Section
Organizer(s): Yuanyuan Bian, Eli Lilly and Company
Chair(s): Ran Liao, Eli Lilly and Company
2:05 PM	Bayesian Divide-and-Conquer Propensity Score-Based Approaches for Leveraging Real-World Data in Single-Arm Clinical Trials Eric Baron, University of Connecticut; Jian Zhu, Servier Pharmaceuticals; Sammi Tang, Servier Pharmaceuticals; Ming-Hui Chen, University of Connecticut
2:25 PM	Integrating Real-World Data and Clinical Trial Results Using Survival Data Reconstruction and Marginal Moment-Balancing Weights Kylie Getz, Rutgers School of Public Health; Ronac Mamtani, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania
2:45 PM	Power Priors with Entropy Balancing Weights in Data Augmentation of Partially Controlled Randomized Trials Guanglei Yu, Eli Lilly and Company; Yuanyuan Bian, Eli Lilly and Company; Margaret Gamalo , Pfizer Inc.
3:05 PM	Challenges and Potential Strategies Utilizing External Data for Efficacy Evaluation in Small-Sized Clinical Trials Feiran Jiao, FDA; Yeh-Fong Chen, Food and Drug Administration
3:25 PM	Matching Within a Hybrid RCT/RWD: Framework on Associated Causal Estimands Guanglei Yu, Eli Lilly and Company; Margaret Gamalo , Pfizer Inc.; Junjing Lin, Takeda Pharmaceuticals
3:45 PM	Floor Discussion

479 *	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-152B
What We Learned Statistically Through COVID-19 Pandemic-Related Research — Topic Contributed Panel
Section on Statistical Computing, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Usha Govindarajulu, Icahn School of Medicine at Mount Sinai
Chair(s): Hung-Mo Lin, Icahn School of Medicine at Mount Sinai
2:05 PM	What We Learned Statistically Through COVID-19 Pandemic-Related Research
Panelists:	Bhramar Mukherjee, University of Michigan Dean Follmann, National Institute of Allergy and Infectious Diseases Alex Luedtke, University of Washington Jeffrey Morris, University of Pennsylvania Usha Govindarajulu, Icahn School of Medicine at Mount Sinai
3:40 PM	Floor Discussion

480	Wed, 8/10/2022, 2:00 PM - 3:50 PM	CC-204A
Causal Inference and Optimal Decision-Making — Contributed Papers
Biometrics Section
Chair(s): Nicholas Illenberger, New York University
2:05 PM	Causal Framework for Individualized Treatment Evaluation Using Multivariate Generalized Mixed Effect Models with Longitudinal Data Yizhen Xu, Johns Hopkins University; Aki Nishimura, Johns Hopkins University; Jisoo Kim, Johns Hopkins University; Brian Garibaldi, Johns Hopkins University; Ami Shah, Johns Hopkins University; Scott Zeger, Johns Hopkins University
2:20 PM	A Bayesian Causal Inference Approach in Observational Studies with Missingness in Covariates and Outcomes Presentation Huaiyu Zang, Cincinnati Children's Hospital Medical Center; Hang Kim, University of Cincinnati; Bin Huang, Cincinnati Children's Hospital Medical Center; Rhonda Szczesniak, Cincinnati Children's Hospital Medical Center
2:35 PM	One-Stage Dynamic Treatment Regimes in Longitudinal Studies with Covariate-Driven Observation Times Janie EM Coulombe, McGill University; Erica EM Moodie, McGill University; Susan M Shortreed, Kaiser Permanente Washington Health Research Institute; Christel Renoux, Lady Davis Institute
2:50 PM	Causal Treatment Effect Estimation for Outcomes Measured with Uncertainty Jingru Zhang, University of Pennsylvania; Haochang Shou, University of Pennsylvania; Hongzhe Lee, University of Pennsylvania
3:05 PM	Solutions for Surrogacy Validation with Longitudinal Outcomes for a Gene Therapy Emily Roberts, University of Michigan; Michael Elliott, University of Michigan; Jeremy Taylor, University of Michigan
3:20 PM	Variability in the Complier Average Causal Effect of E-Assist on a Binary Outcome by a Shared Random Effects Model Xinxin Sun, Virginia Commonwealth University; Yongyun Shin, Virginia Commonwealth University
3:35 PM	CODA: Calibrated Optimal Decision-Making with Multiple Data Sources and Limited Outcome Hengrui Cai, North Carolina State University; Wenbin Lu, North Carolina State University; Rui Song, North Carolina State University

491 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-102A
Bridging Causal Inference and Clinical Trials — Invited Papers
Society for Clinical Trials, Biometrics Section, Biopharmaceutical Section
Organizer(s): Fan Li, Duke University
Chair(s): Fan Li, Duke University
8:35 AM	Model-Assisted Analyses of Cluster-Randomized Experiments Peng Ding, University of California Berkeley
9:00 AM	Combining Trial and Population Data to Estimate Population Average Treatment Effects Elizabeth Stuart, Johns Hopkins University
9:25 AM	Sensitivity of Causal Estimands in Clinical Trials with Imperfect Compliance Heng Chen, Gilead Sciences, Inc.; Daniel F. Heitjan, Southern Methodist University
9:50 AM	Clarifying Selection Bias in Cluster Randomized Trials: Estimands and Estimation Presentation Fan Li, Yale School of Public Health; Georgia Papadogeorgou, University of Florida; Fan Li, Duke University
10:15 AM	Floor Discussion

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

497 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-201
Implementation of the Estimand Framework: Next Steps for Steady and Consistent Progress? — Invited Papers
Biopharmaceutical Section, ENAR, Biometrics Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Pilar Lim, Janssen Research & Development, LLC
8:35 AM	Lessons from Implementation of the Estimand Framework Across Projects Presentation Elena Polverejan, PhD, Janssen Research & Development, LLC
9:00 AM	Estimands and Complex Innovative Designs Presentation Frank Bretz, Novartis
9:25 AM	Discussant: Lei Nie, U. S. FDA
9:40 AM	Discussant: Catherine Njue, Health Products and Food Branch / Health Canada / Government of Canada
9:55 AM	Discussant: Yuki Ando, Pharmaceuticals and Medical Devices Agency (PMDA)
10:10 AM	Floor Discussion

505 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-202B
Generalized Pairwise Comparisons and Win Statistics (Win Ratio, Win Odds, and Net Benefit): A Ten-Year Journey — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Lifetime Data Science Section
Organizer(s): Yodit Seifu, Bristol Myers Squibb
Chair(s): Kaifeng Lu, BeiGene
8:35 AM	On the Intransitivity of the Win Ratio DAVID OAKES, University of Rochester,; Changyong Feng, University of Rochester
8:55 AM	Win Odds: An Adaptation of the Win Ratio to Include Ties Tobias Mütze, Novartis Pharma AG; Tianmeng Lyu, Novartis
9:15 AM	The Net Benefit as a Measure of Treatment Effect for Generalized Pairwise Comparisons Vaiva Deltuvaite-Thomas, IDDI; Marc Buyse, IDDI
9:35 AM	Impact of Follow-Up Time and a Comparison of Win Statistics on Time-to-Event Outcomes James Song, BeiGene; Gaohong Dong, BeiGene
9:55 AM	Evidence Synthesis in Oncology Clinical Trials: A Generalized Pairwise Comparison Approach Bo Huang, Pfizer Inc.; Ying Cui, Emory University; Gaohong Dong, BeiGene
10:15 AM	Floor Discussion

506 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-206
Robust and Efficient Analysis of Complex Time-to-Event Data — Topic Contributed Papers
ENAR, Lifetime Data Science Section, Biometrics Section
Organizer(s): Lu Mao, University of Wisconsin-Madison
Chair(s): Tuo Wang, University of Wisconsin-Madison
8:35 AM	On Restricted Mean Time in Favor of Treatment Lu Mao, University of Wisconsin-Madison
8:55 AM	Estimands for Recurrent Event Endpoints in the Presence of a Terminal Event Mouna Akacha , Novartis Pharma AG
9:15 AM	Summarizing the Duration of Response via RMST Lu Tian, Stanford University; Bo Huang, Pfizer Inc.; LJ Wei, Harvard
9:35 AM	Valid Inferences Based on Proportional Hazards Model for High-Dimensional, Interval-Censored Data Zhe Fei, UCLA; Gang Li, University of California, Los Angeles; Rui Yang, UCLA; Hua Zhou, UCLA
9:55 AM	Discussant: LJ Wei, Harvard
10:15 AM	Floor Discussion

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

511 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-207B
In Pursuit of Speed and Efficiency in New Drug Development: Statistical Designs at the Forefront of Pushing the Boundaries of Innovation — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, ENAR
Organizer(s): Junjing Lin, Takeda Pharmaceuticals
Chair(s): Margaret Gamalo , Pfizer Inc.
8:35 AM	Implications of Using Recurrent Episodes: Statistical Considerations in a Rare Disease Setting Hengrui Sun, FDA
8:55 AM	Incorporating External Information or Real-World Evidence into Adaptive Design with Sample Size Re-Estimation Ran Liao, Eli Lilly and Company; Junjing Lin, Takeda Pharmaceuticals; Margaret Gamalo , Pfizer Inc.
9:15 AM	Design and Analysis of Drop-The-Losers Studies Using Binary Endpoints in the Rare Disease Setting Ina Jazic, Vertex Pharmaceuticals; Xiaoyan Liu, Vertex Pharmaceuticals; Glen Laird, Vertex Pharmaceuticals
9:35 AM	A Bayesian Seamless Design for Phase 2 Early Signals of Efficacy and Dose-Ranging Studies with Historical/Virtual Placebo Controls Zhen Zhang, Pfizer Inc.; Vivek Pradhan, Pfizer Inc.; Yang Li, Pfizer Inc.
9:55 AM	Two-Stage Optimal Designs Based on Exact Variance for a Single-Arm Trial with Survival Endpoints Guogen Shan, University of Florida
10:15 AM	Floor Discussion

513 * !	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-143C
Bayesian Learning for the Health Care and Disparities in the 21st Century — Topic Contributed Papers
International Society for Bayesian Analysis (ISBA), Biometrics Section, Health Policy Statistics Section
Organizer(s): Anjishnu Banerjee, Medical College of Wisconsin
Chair(s): Anjishnu Banerjee, Medical College of Wisconsin
8:35 AM	Bayesian Nonlinear Models for Data Integration and Distributed Statistical Inference sounak chakraborty, university of missouri; Tanujit Dey, Harvard University; Anjishnu Banerjee, Medical College of Wisconsin
8:55 AM	Robust Inference on Uncomfirming Silos Yilun Huang, University of Missouri-Columbia; sounak chakraborty, university of missouri; Tanujit Dey, Harvard University; Anjishnu Banerjee, Medical College of Wisconsin
9:15 AM	Transformation into Next-Generation Risk Management Through Bayesian Lag Joint Model Yan Gao, Medical College of Wisconsin; Sanjib Basu, Biostatistics, University of Illinois Chicago
9:35 AM	Bayesian Learning for Disparities and Race Related Measures from Integrated Data Sources, Using Rare Event and Hierarchical Models Tanujit Dey, Harvard University; Anjishnu Banerjee, Medical College of Wisconsin; sounak chakraborty, university of missouri
9:55 AM	Discussant: Srijan Sengupta, NCSU
10:15 AM	Floor Discussion

517	Thu, 8/11/2022, 8:30 AM - 10:20 AM	CC-156
New Approaches for Correlated and Clustered Data — Contributed Papers
Biometrics Section
Chair(s): Xi Jiang, Southern Methodist University
8:35 AM	Geographical Data Science (GIS) Applications for Critical Record Identification Turkan Kumbaraci Gardenier, Teka Trends, Inc.
8:50 AM	Maximin Optimal Cluster Randomized Designs for Assessing Treatment Effect Heterogeneity Mary Ryan, Yale Center for Analytical Sciences; Denise Esserman, Yale University; Fan Li, Yale School of Public Health
9:05 AM	Addressing the Challenges of Assessing Forecasting and Time Series Methods Using COVID-19 Pandemic-Era Data Niloofar Ramezani, George Mason University; Karen Traxler, U.S. Department of Justice
9:20 AM	Mixture Models for Repeatedly Measured Survey Data with “Don’t Know” Category and/or Floor Effects Ralitza Gueorguieva, Yale University; Eugenia Buta, Yale University; Meghan Morean, Yale University; Patricia Simon, Yale University; Suchitra Krishnan-Sarin, Yale University
9:35 AM	Evaluation of Latent-Class Mixed-Effect Models for Trajectory Clustering in Complex Data Sets Through Simulation Studies Yuan Fang, Boston University; Jiachen Chen, Boston University; Joanne Murabito, Boston University; Kathryn Lunetta, Boston University
9:50 AM	Floor Discussion

531 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-207B
Precision Medicine: Methods, Tools, and Applications — Invited Papers
Biometrics Section, WNAR, Mental Health Statistics Section
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Yichuan Zhao, Georgia State University
10:35 AM	Using Discrete Choice Modeling for Incorporating Patient Preference into Precision Medicine Presentation Joshua Zitovsky, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
11:00 AM	Simultaneous Modeling of the Mean and Within-Subject Variability Trajectories of a Longitudinal Biomarker Together with a Competing Risks Time-to-Event Outcome Gang Li, University of California, Los Angeles; Shanpeng Li, UCLA; Jin Zhou, UCLA; Hua Zhou, UCLA
11:25 AM	New Statistical Learning Methods for Evaluating Personalized Health Care Decision Rules Lu Wang, University of Michigan
11:50 AM	Discussant: Peter Song, University of Michigan
12:10 PM	Floor Discussion

537 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-202A
Recent Developments in Causal Inference with Real World Evidence in Drug Development — Invited Papers
Biopharmaceutical Section, Biometrics Section, Society for Clinical Trials
Organizer(s): Margaret Gamalo , Pfizer Inc.
Chair(s): Birol Emir, Pfizer Inc
10:35 AM	Target Trials: Emulating RCTs Using Observational Longitudinal Data James M Robins, Harvard University
11:00 AM	Targeted Learning of Causal Effects with Continuous Time-to-Event Outcomes Mark Van der Laan, University of California Berkeley
11:25 AM	Regulatory Considerations on the Use of Machine Learning for Real-World Evidence Studies Hana Lee, FDA
11:50 AM	Discussant: Demissie Alemayehu, Pfizer Inc.
12:10 PM	Floor Discussion

539 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-206
Statisticians in the Reproducibility and Research Reform Movement — Invited Papers
Section on Statistical Consulting, Biometrics Section, ENAR
Organizer(s): Hormuzd Katki, National Cancer Institute
Chair(s): Parichoy Pal Choudhury, National Cancer Institute
10:35 AM	Assessing the fragility of study findings to differential misclassification in binary covariates and outcomes Ravi Varadhan, Johns Hopkins University; Hormuzd Katki, National Cancer Institute
11:00 AM	Defense Against the Dark Arts: The Potential, Progress, and Possible Pitfalls of Preregistration Tom E Hardwicke, University of Amsterdam
11:25 AM	Quantifying Uncertainty in Estimated P-Values and Confidence Interval Endpoints: Implications for Study Design and Interpretation Hormuzd Katki, National Cancer Institute
11:50 AM	The Multiplicity of Analysis Strategies Jeopardizes Replicability: Lessons Learned Across Disciplines Sabine Hoffmann , Ludwig-Maximilians-University Munich
12:15 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

552 * !	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-152B
State of the Science in Patient-Focused Drug Development with Statistics Leading Innovation: Where Have We Been, and Where Are We Going? — Topic Contributed Panel
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Joseph C. Cappelleri, Pfizer Inc; Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
Chair(s): Flora Mulkey, FDA
10:35 AM	State of the Science in Patient-Focused Drug Development with Statistics Leading Innovation: Where Have We Been, and Where Are We Going?
Panelists:	Joseph C. Cappelleri, Pfizer Inc Mallorie Fiero, US Food and Drug Administration Shing M Lee, Columbia University Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
12:10 PM	Floor Discussion

554	Thu, 8/11/2022, 10:30 AM - 12:20 PM	CC-155
Novel Methods in Longitudinal Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Glen McGee, University of Waterloo
10:35 AM	Informative Models for the Joint Distribution of a Vector from Its Marginal Distributions Marepalli B Rao, University of Cincinnati; Rigwed B Tatu, Cincinnati Children Hospital; Koffi B Wima, University of Cincinnati; Karthikeyan B Meganathan, University of Cincinnati; Tianyuan Guan, Kent State University
10:50 AM	Investigation of Time Trajectories of Immune Infiltration Using the Functional Principal Component Analysis by Conditional Estimation Algorithm Minya Pu, Moores Cancer Center, University of California, San Diego; Xinlian Zhang, University of California, San Diego; Jingjing Zou, University of California at San Diego (UCSD); Karen Messer, University of California, San Diego
11:05 AM	Generalized Mixed Model in Multi-Domain Alzheimer’s Disease Progression Modeling Using ADNI Multi-Domain Longitudinal Data Clarissa Sun, The University of North Carolina at Chapel Hill
11:20 AM	Marginal Structural Models for Multinomial-Choice Outcomes with Irregularly Spaced Observations Taekwon Hong, North Carolina State University; Shu Yang, North Carolina State University; Wenbin Lu, North Carolina State University; Pulak Ghosh, Indian Institute of Management Bangalore
11:35 AM	Unified Inferences for Sparse and Dense Longitudinal Models with Irregular Time AR Error Process Yan Fang, Shanghai University of International Business and Economics; Yin Hang, Guangdong University of Finance; Jinhong You, Shanghai University of Finance and Economics
11:50 AM	Random Effects Expectation-Maximization (RE-EM) Tree: An Application to the Early Childhood Growth Data Fatima Boukari, Delaware State University; Jobayer Hossain, Nemours Children's Health
12:05 PM	Cluster Analysis of Longitudinal Profiles for Compositional Count Data to Study the Competition-Colonization Trade-Off in Ecology Chenyang Duan, Oregon State University ; Yuan Jiang, Oregon State University

JSM 2022 Conference Program

Activity Details

American Statistical Association