All Times EDT
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Activity Details
80
Mon, 8/3/2020,
10:00 AM -
2:00 PM
Virtual
Contributed Poster Presentations: Mental Health Statistics Section — Contributed Poster Presentations
Mental Health Statistics Section
1:
A Data Science Approach to Predicting Future Suicide Attempts with a Large National US Survey
Angel Garcia De La Garza, Columbia University ; Melanie M Wall, Columbia University
2:
Addressing Informative Observation Times and Dependent Censoring in Electronic Health Records Data
Alexandra Klomhaus, University of California, Los Angeles ; Hilary Aralis, UCLA Department of Biostatistics, Semel Institute for Neuroscience & Human Behavior; Catherine A. Sugar, University of California, Los Angeles; Jessica Jeffrey, University of California, Los Angeles; Mark Grossman, University of California, Los Angeles; Patricia Lester, University of California, Los Angeles
3:
Power Analysis for Latent Class Identification Using the Bootstrap Likelihood Ratio Test
Alai Tan, Ohio State University College of Nursing
4:
Perceived Injustice After Spinal Cord Injury: Evidence for a Distinct Psychological Construct
Jessica Ketchum, Craig Hospital ; Kimberly Monden, Craig Hospital
5:
Hourly, Daily, Weekly or Monthly? Choosing the Right Data Time Granularity for Analysis of Digital Biomarker Trajectories
Nicole Wakim, University of Michigan ; Thomas Braun, University of Michigan; Hiroko Dodge, University of Michigan
6:
Estimating disease onset from change points of markers measured with error
Unkyung Lee, Texas A&M University ; Raymond Carroll, Texas A&M; Karen Marder, Columbia University; Yuanjia Wang, Columbia University; Tanya P Garcia, Texas A&M University
125 *
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Novel Approaches for Estimating and Evaluating Treatment Rules with Applications in Mental Health Research — Topic Contributed Papers
Mental Health Statistics Section , Biometrics Section, ENAR
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Todd Ogden, Columbia University
1:05 PM
A Tree-Based Method for Discovering Response Trajectory Subgroups Based on Scalar and Functional Variables
Adam Ciarleglio, George Washington University
1:25 PM
A single index model for longitudinal outcomes to optimize individual treatment decision rules
Presentation
Lanqiu Yao, New York University School of Medicine ; Thaddeus Tarpey, NYU School of Medicine
1:45 PM
Sufficient Dimension Reduction for Interactions and Its Application to Optimizing Individualized Dose Rules
Presentation
Hyung Park, New York University ; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, NYU School of Medicine; R. Todd Ogden, Columbia University
2:05 PM
Confidence in Optimal Personalized Treatment Decisions: A Strategy for Sequential Patient Assessment
Presentation
Nina Orwitz, NYU School of Medicine ; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, NYU School of Medicine
2:25 PM
Conditional Gaussian Graphical Model for Estimating Personalized Disease Symptom Networks
Shanghong Xie, Columbia University ; Erin Mcdonnell, Columbia University; Yuanjia Wang, Columbia University
2:45 PM
Floor Discussion
143 *
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Recent Advances in Imaging Genetics — Invited Papers
Section on Statistics in Imaging , Mental Health Statistics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Wesley Thompson, University of California, San Diego
Chair(s): Lingjing Jiang, University of California, San Diego
10:05 AM
A Bayesian Spatial Model for Imaging Genetics
Nathoo Farouk, University of Victoria
10:30 AM
Heritability Models for Neuroimaging
Benjamin B Risk, Emory University ; Hongtu Zhu, University of North Carolina at Chapel Hill
10:55 AM
A Grouped Beta Process Model for Multivariate Resting-State EEG Microstate Analysis on Twins
Mark Fiecas, University of Minnesota
11:20 AM
Discussant: Wesley Thompson, University of California, San Diego
11:45 AM
Floor Discussion
185 *
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
Novel Methods for Clinical Trial Design and Characterizing Heterogeneity — Contributed Papers
Mental Health Statistics Section
Chair(s): Hanna Lindner, University of Pennsylvania
A Novel Power Prior Approach to Borrowing Historical Control Data in Clinical Trials
Yaru Shi, Merck & Co. ; Wen Li, Merck; Guanghan Frank Liu, Merck Inc.
Practice Effects: What, Why and How
Rajesh Talluri, University of Mississippi Medical Center
Estimate Health Disparity That Accounts for Interactions/Correlations Among Risk Factors
Chen-Pin Wang, UT Health Science Center San Antonio
Sample Size and Timepoint Tradeoffs for Comparing Dynamic Treatment Regimens in a Longitudinal SMART
Nicholas Seewald, University of Michigan ; Daniel Almirall, University of Michigan
Modified Q-Learning with Generalized Estimating Equations for Optimizing Dynamic Treatment Regimes with Repeated-Measures Outcomes
Presentation
Yuan Zhang, University of Minnesota ; David Vock, University of Minnesota; Thomas Murray, University of Minnesota
Comparison of ML Methods to Predict Post-Stroke Depression Subgroups
Elizabeth Mauer, Weill Medical College - New York, NY
240 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Statistical Analysis of Complex Imaging Data — Invited Papers
WNAR , Section on Statistics in Imaging, Mental Health Statistics Section
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
1:05 PM
Principle ERP Reduction and Analysis: Estimating and Using Principle ERP Waveforms Underlying ERPs Across Tasks, Subjects and Electrodes
Damla Senturk, UCLA ; Shafali Jeste, UCLA; Emilie Campos, UCLA; Chad Hazlett, UCLA; Patricia Tan, UCLA; Holly Truong, UCLA; Sandra Loo, UCLA; Charlotte DiStefano, UCLA
1:35 PM
Covariance Regression for Connectome Outcomes
Brian Caffo, Johns Hopkins University ; Rossi Luo, The University of Texas Health Science Center; Yi Zhao, Indiana University; Bingkai Wang, Johns Hopkins Bloomberg School of Public Health
2:05 PM
A Source Separation Method for Investigating Brain Connectome Traits
Ying Guo, Emory University ; Yikai Wang, Emory University
2:35 PM
Floor Discussion
254 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Digital Phenotyping — Invited Papers
Mental Health Statistics Section , Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Samprit Banerjee, Weill Medical College, Cornell University
Chair(s): Wenna Xi, Weill Medical College, Cornell University
1:05 PM
Digital Phenotype of Patients with Major Depressive Disorder
Samprit Banerjee, Weill Medical College, Cornell University ; Jihui Lee, Weill Cornell Medicine
1:25 PM
Physical Activity Recognition Using Smartphone Data
Jukka-Pekka Onnela, Harvard University
1:45 PM
Using Federated Learning to Address User Heterogeneity and Privacy in Mobile Health Data
Ambuj Tewari, University of Michigan
2:05 PM
A Pre-Processing Pipeline of MHealth Data
Jihui Lee, Weill Cornell Medicine ; Hongzhe Zhang, Weill Cornell Medicine; Samprit Banerjee, Weill Medical College, Cornell University
2:25 PM
Behavioral Monitoring and Change Point Detection in Digital Phenotyping Studies
Ian Barnett, University of Pennsylvania
2:45 PM
Floor Discussion
331 *
Wed, 8/5/2020,
10:00 AM -
2:00 PM
Virtual
Cluster Detection in Big Data — Contributed Papers
Mental Health Statistics Section
Chair(s): Adam Ciarleglio, George Washington University
A Second Look at Thurstone Simple Structure
William Heavlin, Google, Inc.
SDRD: Statistical Diseased Region Detection for Large-Scale Neuroimaging Studies
Rongjie Liu, Rice University ; Hongtu Zhu, University of North Carolina at Chapel Hill
Predicting Clinically Significant Response to Primary Care Treatment for Depression from Electronic Health Records of Veterans
Ming-Un Myron Chang, VA Center for Clinical Management Research, VA Ann Arbor Healthcare System ; Mary C. Vance, Center for the Study of Traumatic Stress, Uniformed Services University; Jeremy B. Sussman, Department of Internal Medicine, University of Michigan; Kara Zivin, Department of Psychiatry, University of Michigan; Paul N. Pfeiffer, Department of Psychiatry, University of Michigan
Unsupervised Filtering Algorithm for Passively Collected Smartphone Data
Hongzhe Zhang, Weill Cornell Medicine ; Samprit Banerjee, Weill Medical College, Cornell University; Jihui Lee, Weill Cornell Medicine
A Divide and Conquer Approach for Network Regression
Riddhi Pratim Ghosh ; Ian Barnett, University of Pennsylvania
Predictive Models for Detecting Stress Signals in Teens from Wearable Devices
Claire Jin, State College Area High School
389 * !
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Unsupervised Learning with Latent Variables for Biobehavioral Research — Invited Papers
Mental Health Statistics Section , Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Douglas David Gunzler, Case Western Reserve University
Chair(s): Xiao-Li Meng, Harvard University
1:05 PM
Constructing Latent Risk Labels Aligned with Clinical Practice
Presentation
Booil Jo, Stanford University
1:25 PM
Looking Inside the Black Box: New Methods to Assess Causality in Unsupervised Machine Learning
Alessandro De Nadai, Texas State University ; Ryan Zamora, Texas State University; Douglas David Gunzler, Case Western Reserve University
1:45 PM
Dealing with Latent Variable Confounding Using Auxiliary Variables and PushForward
Presentation
Bryant Chen, Brex Inc.
2:05 PM
Discussant: Mark Van der Laan, University of California, Berkeley
2:25 PM
Discussant: Maya Mathur, Stanford University
2:45 PM
Floor Discussion
414
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Making Questions Relevant and Assumptions Realistic: New Strategies for Causal Mediation — Topic Contributed Papers
Mental Health Statistics Section , Biometrics Section
Organizer(s): Donna L Coffman, Temple University
Chair(s): Donna L Coffman, Temple University
1:05 PM
Clarifying Causal Mediation Analysis for the Applied Researcher: Defining Effects Based on What We Want to Learn
Trang Nguyen, Johns Hopkins Bloomberg School of Public Health ; Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
1:25 PM
Identifying Potential Mediating Variables Using Variable Importance Measures
Brian G Vegetabile, RAND Corporation ; Donna L Coffman, Temple University; Daniel F McCaffrey, ETS
1:45 PM
Variable Selection for Causal Mediation Analysis Using LASSO-Based Methods
Yeying Zhu, University of Waterloo ; Zhaoxin Ye, University of Waterloo; Donna L Coffman, Temple University
2:05 PM
A New Solution to the Problem of Posttreatment Confounding in Causal Mediation Analysis
Guanglei Hong, University of Chicago ; Fan Yang, University of Colorado Anschutz Medical Campus; Xu Qin, University of Pittsburgh; Stephen Raudenbush, University of Chicago
2:25 PM
Instrumental Variable Methods Using Dynamic Interventions
Jacqueline Mauro ; Edward Kennedy, Carnegie Mellon University; Daniel Nagin, Carnegie Mellon University
2:45 PM
Floor Discussion
424 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
Recent Advances in Educational and Psychological Data Analysis — Invited Papers
Journal of Educational and Behavioral Statistics , American Educational Research Association, Mental Health Statistics Section
Organizer(s): Gongjun Xu, University of Michigan
Chair(s): Gongjun Xu, University of Michigan
10:05 AM
An Exploration of Latent Structure in Process Data
Jingchen Liu, Columbia University, Department of Statistics ; Xueying Tang; Zhi Wang, Columbia University, Department of Statistics; Susu Zhang, Columbia University, Department of Statistics
10:30 AM
Compound Sequential Detection of Compromised Items
Xiaoou Li, University of Minnesota ; Yunxiao Chen, London school of economics and political science
10:55 AM
Advances in Latent Structure Models for Ordinal Response Data
Steven Andrew Culpepper, University of Illinois at Urbana Champaign
11:20 AM
A Hierarchical Latent Response Model for Examinee Engagement, Guessing and Non-Response
Matthias von Davier, Boston College ; Steffi Pohl, FU Berlin; Esther Ulitzsch, FU Berlin
11:45 AM
Floor Discussion
563 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Statistical Methods for State Health Policy Evaluation — Invited Papers
Health Policy Statistics Section , Mental Health Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Chair(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
3:05 PM
Evaluating Methods to Estimate the Effect of State Laws on Opioid-Related Outcomes in the Presence of Selection Bias
Beth Ann Griffin, RAND
3:30 PM
Partial Identification in Difference-In-Difference Designs When the Parallel Trends Assumption Fails
Raiden Hasegawa, Google ; Dylan Small, University of Pennsylvania; Luke Keele, University of Pennsylvania; Daniel Webster, Bloomberg School of Public Health, Johns Hopkins University
3:55 PM
Synthetic Controls and Weighted Event Studies with Staggered Adoption
Eli Ben-Michael, UC Berkeley ; Jesse Rothstein, UC Berkeley
3:20 PM
Discussant: Laura Hatfield, Harvard Medical School
3:45 PM
Floor Discussion
