All Times EDT
Legend: CC = Walter E. Washington Convention Center M = Marriott Marquis Washington, DC
Activity Details
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
94 * !
Mon, 8/8/2022,
8:30 AM -
10:20 AM
CC-204B
Building Innovative Ethical Health Care Systems via Sequential Approaches — Invited Papers
Mental Health Statistics Section , Academy for Health Services Research and Health Policy, Survey Research Methods Section
Organizer(s): Jane Kim, Stanford University School of Medicine
Chair(s): Mike Baiocchi, Stanford University
8:35 AM
Online Decision-Making
Gisoo Kim, UNIST
9:05 AM
Building Innovative Ethical Health Care Systems via Sequential Approaches
Jane Kim, Stanford University School of Medicine
9:35 AM
A Bayesian Decision-Theoretic Framework to Adaptively Estimate Minimum Effective Combinations of Sedentary Breaks to Reduce Cardiometabolic Risks: A Use Case of Adaptive Trial Design
Ying Kuen Ken Cheung, Columbia University ; Thevaa Chandereng, Columbia University; Keith M Diaz, Columbia University
10:05 AM
Floor Discussion
155
Mon, 8/8/2022,
10:30 AM -
12:20 PM
CC-Hall D
Contributed Poster Presentations: Mental Health Statistics Section — Contributed Poster Presentations
Mental Health Statistics Section , Text Analysis Interest Group
Chair(s): Gyuhyeong Goh, Kansas State University
19:
Accurate Confidence Interval Estimation for Non-Centrality Parameters and Effect Size Indices
Kaidi Kang, Vanderbilt University ; Kristan Armstrong, Vanderbilt University Medical Center; Suzanne Avery, Vanderbilt University Medical Center; Maureen McHugo, Vanderbilt University Medical Center; Stephan Heckers, Vanderbilt University Medical Center; Simon N Vandekar, Vanderbilt University Medical Center
20:
Mining for Equitable, Intelligent Health: Simulating Missing Data in Electronic Health Records
Emily Getzen, University of Pennsylvania ; Qi Long, Upenn
281
Tue, 8/9/2022,
10:30 AM -
12:20 PM
CC-153
New Methods with Applications in Mental Health Statistics — Contributed Papers
Mental Health Statistics Section
Chair(s): Arinjita Bhattacharyya, Merck & Co., Inc.
10:35 AM
A Novel Approach for Sensitivity Analyses and Validation for Mixture Models
Douglas Gunzler, Case Western Reserve University ; Alessandro De Nadai, Texas State University; Adam Perzynski, Case Western Reserve University; Jarrod Dalton, The Cleveland Clinic Foundation; Kristen Berg, Case Western Reserve University; Farren Briggs, Case Western Reserve University
10:50 AM
Exploratory Hidden Markov Factor Models for Longitudinal Mobile Health Data: Application to Adverse Posttraumatic Neuropsychiatric Sequelae
Lin Ge, North Carolina State University ; Xinming An, The University of North Carolina at Chapel Hill; Donglin Zeng, University of North Carolina; Samuel McLean, The University of North Carolina at Chapel Hill; Ronald Kessler, Harvard Medical School; Rui Song, North Carolina State University
11:05 AM
Optimal Transformations of High-Dimensional Functional Data for Clustering Methods
Hanchao Zhang, NYU Grossman School of Medicine ; Thaddeus Tarpey, New York University
11:20 AM
Targeted Learning in Observational Studies with Multi-Level Treatments: An Evaluation of Antipsychotic Drug Treatment Safety for Patients with Serious Mental Illness
Jason Poulos, Harvard Medical School ; Marcela Horvitz-Lennon, The RAND Corporation; Katya Zelevinsky, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School; Thomas Huijskens, Quantum Black; Pooja Tyagi, Quantum Black; Jiaju Yan, Quantum Black; Jordi Diaz, Quantum Black; Tudor Cristea-platon, Quantum Black
11:35 AM
Testing Unit Root Non-Stationarity in the Presence of Missing Data in Univariate Time Series of MHealth Studies
Charlotte Fowler, Columbia University ; Xiaoxuan Cai, Columbia University; Justin Baker, Harvard Medical School; Jukka-Pekka Onnela, Harvard T.H. Chan School of Public Health; Linda Valeri, Columbia University
11:50 AM
Can the Potential Benefit of Individualizing Treatment Be Assessed Using Aggregate Data Alone?
Nina Galanter, University of Washington ; Alex Luedtke, University of Washington; Marco Carone, University of Washington
12:05 PM
Tensor Response Quantile Regression with Neuroimaging Data
Bo Wei, University of Michigan, Ann Arbor ; Limin Peng, Emory University; Ying Guo, Emory University; Amita Manatunga, Emory Unversity
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
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
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
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
499 * !
Thu, 8/11/2022,
8:30 AM -
10:20 AM
CC-203AB
Recent Issues in the Design and Analysis of Clinical Trials in Neurodegenerative Disorders — Invited Papers
ENAR , Mental Health Statistics Section, Biopharmaceutical Section
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Akiko Okamoto, ScD, Janssen Research & Development, LLC
8:35 AM
Identifying Disease-Modifying Treatments in Progressive Diseases Through Delayed Failure Time Models and Delayed Longitudinal Progression Models
Suzanne Hendrix, Pentara ; Newman Knowlton, Pentara; Nathaniel Hogan, Pentara; Jessie Johnson, Pentara; Samuel Dickson, Pentara
8:55 AM
A Case Study Evaluating Alternative Analysis Methods in Longitudinal Alzheimer’s Disease Study, with Variable Subject Follow-Up
Yevgen Tymofyeyev, Janssen RD of J&J
9:15 AM
The Chronic Progressive Repeated Measures (CPRM) Model for Longitudinal Data
Steven Edland, University of California San Diego
9:35 AM
Understanding and Accounting for Rapidly Progressing Patients in Alzheimer’s Clinical Trials
Craig Mallinckrodt, Cortexyme
9:55 AM
Discussant: Barbara Wendelberger, PhD, Berry Consultants
10:15 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
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
