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* = applied session       ! = JSM meeting theme

Activity Details


15 * !
Sun, 8/8/2021, 1:30 PM - 3:20 PM Virtual
Emerging Statistical Challenges and Opportunities in Mental Health Research — Invited Panel
Mental Health Statistics Section, Biometrics Section, ENAR, Caucus for Women in Statistics
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Adam Ciarleglio, George Washington University
1:35 PM Emerging Statistical Challenges and Opportunities in Mental Health Research
Panelists: Melanie Wall, Columbia University
Eva Petkova, New York University School of Medicine
Garrett Fitzmaurice, Harvard University
Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:15 PM Floor Discussion
 
 

65 * !
Mon, 8/9/2021, 10:00 AM - 11:50 AM Virtual
Causal Inference with Latent Variables — Invited Papers
Mental Health Statistics Section, Health Policy Statistics Section, Section on Statistics in Epidemiology, Text Analysis Interest Group
Organizer(s): Booil Jo, Stanford University School of Medicine
Chair(s): Xiao-Li Meng, Harvard University
10:05 AM A Statistical Test to Reject the Structural Interpretation of a Latent Factor Model
Tyler J VanderWeele, Harvard University; Stijn Vansteelandt, Ghent University
10:25 AM Natural Language Processing Algorithms and Their Relationship to Latent Variable Modeling
Brian Lee Egleston, Fox Chase Cancer Center; Slobodan Vucetic, Temple University
10:45 AM The Deconfounder: What Is It? What Is Its Theory? Is it Useful?
David Blei, Columbia University; Yixin Wang, U.C. Berkeley
11:05 AM Discussant: Mark Van Der Laan, University of California
11:25 AM Discussant: Kosuke Imai, Harvard University
11:45 AM Floor Discussion
 
 

Register 97
Mon, 8/9/2021, 12:00 PM - 1:20 PM Virtual
Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Mental Health Statistics Section
ML07: Mixed-Effects Location-Scale Models for Intensive Longitudinal Data Presentation
Donald Hedeker, University of Chicago
 
 

220786
Mon, 8/9/2021, 5:30 PM - 7:00 PM
Health Policy Statistics Section Business Meeting and Mixer — Other Cmte/Business
Health Policy Statistics Section, Mental Health Statistics Section
Chair(s): Mousumi Banerjee, University of Michigan
Monday August 9, 2021, 5:30 pm - 7:00 pm Eastern

Click the link to join the HPSS and MHS joint mixer: https://txstate.zoom.us/my/JSM2021Mixer
 
 

Register 174
Tue, 8/10/2021, 12:00 PM - 1:20 PM Virtual
Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Mental Health Statistics Section
TL07: Multi-Resolution Treatment Strategies for Mental Illness
Eric Laber, Duke University
 
 

183 * !
Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
Genomics in Neuroscience — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, Mental Health Statistics Section
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
1:35 PM Constructing Local Cell-Specific Networks from Single-Cell Data
Kathryn Roeder, CARNEGIE-MELLON UNIVERSITY; Xuran Wang, CARNEGIE-MELLON UNIVERSITY; David Choi, Carnegie Mellon University
2:00 PM Leveraging Gene Expression in Human Brain Tissue to Better Understand Schizophrenia and Its Genetic Risk
Andrew Jaffe, Johns Hopkins University
2:25 PM Estimation of Gene-to-Trait Mediation via EQTL and GWAS Integration
Michael Love, UNC-Chapel Hill; Anqi Zhu, UNC-Chapel Hill; Nana Matoba, UNC-Chapel Hill; Jason Stein, UNC-Chapel Hill; Emmaleigh Wilson, UNC-Chapel Hill; Amanda Tapia, UNC-Chapel Hill; Yun Li, UNC-Chapel Hill; Joseph G Ibrahim, UNC
2:50 PM Deep Learning-Empowered Integrative Analysis of Single-Cell and Spatial Transcriptomics Data
Mingyao Li, University of Pennsylvania; Jian Hu, University of Pennsylvania; Kyle Coleman, University of Pennsylvania; Amelia Schroeder, University of Pennsylvania
3:15 PM Floor Discussion
 
 

205
Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
Digital Phenotyping — Topic-Contributed Papers
Mental Health Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Samprit Banerjee, Weill Medical College of Cornell University
Chair(s): Jihui Lee, Weill Medical College of Cornell University
1:35 PM Quantifying Environmental Exposures from Smartphone Data
Jukka-Pekka Onnela, Harvard University; Aarti Sathyanarayana, Harvard University
1:55 PM Digital Phenotyping for Predicting Depression with Weakly Labeled Data
Samprit Banerjee, Weill Medical College of Cornell University; Hongzhe Zhang, Weill Medical College, Cornell University; Jihui Lee, Weill Medical College of Cornell University
2:15 PM Within-Cluster Resampling with Informative Correlation
Ian Barnett, University of Pennsylvania
2:35 PM Next Steps in Federated Learning and Privacy Protection for Mobile and Digital Health Presentation
Alexander Shen, University of Michigan; Ambuj Tewari, University of Michigan
2:55 PM Distributional Data Analysis via Quantile Functions and Its Application to Modeling Digital Biomarkers of Gait in Alzheimer’s Disease
Rahul Ghosal, Johns Hopkins Bloomberg School of Public Health; Vijay R. Varma, National Institute on Aging (NIA), National Institutes of Health (NIH); Dmitri Volfson, Neuroscience Analytics, Computational Biology, Takeda, Cambridge, MA, USA ; Inbar Hillel, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel; Jacek Urbanek, Johns Hopkins University School of Medicine; Jeffrey M. Hausdorff, Tel Aviv University, Tel Aviv, Israel; Amber Watts, Department of Psychology, University of Kansas; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
3:15 PM Floor Discussion
 
 

Register 251
Wed, 8/11/2021, 12:00 PM - 1:20 PM Virtual
Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Mental Health Statistics Section
WL05: Working as a Biostatistician in Academia: Ready, Set, Go!
Julia Soulakova, College of Medicine at Universtity of Central Florida
 
 

263 * !
Wed, 8/11/2021, 1:30 PM - 3:20 PM Virtual
Addressing a Validity Crisis in Biobehavioral Research: Novel Approaches to Machine Learning and Clinical Data Analysis — Invited Papers
Mental Health Statistics Section
Organizer(s): Alessandro De Nadai, Texas State University
Chair(s): Wesley Thompson, University of California at San Diego
1:35 PM Validity and Fairness in Mental Health Services Research
Sherri Rose, Stanford University
1:55 PM Data Pollution: A New Framework to Address Shared Problems in Machine Learning and Clinical Research
Alessandro De Nadai, Texas State University
2:15 PM Real Effect vs. Apparent Effect: Placebo Response in Neuropharmacology Trials
Pilar Lim, Janssen Research & Development, LLC
2:35 PM Discussant: Knashawn Morales, University of Pennsylvania Perelman School of Medicine
2:55 PM Discussant: Booil Jo, Stanford University School of Medicine
3:15 PM Floor Discussion
 
 

307 * !
Wed, 8/11/2021, 3:30 PM - 5:20 PM Virtual
Challenges and Advances in Psychological and Behavioral Data Analysis — Topic-Contributed Papers
Mental Health Statistics Section, Biometrics Section, Committee on Applied Statisticians
Organizer(s): Gongjun Xu, University of Michigan
Chair(s): Gongjun Xu, University of Michigan
3:35 PM Reporting Proficiency Levels for Examinees with Missing Data on Large-Scale Educational Assessments Presentation
Sandip Sinharay, Educational Testing Service
3:55 PM Statistical Inference for Partially Ordered Responses
Edward Ip, Wake Forest School of Medicine, Biostatistics & Data Science
4:15 PM Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM
Chun Wang, University of Washington
4:35 PM Latent Structure Models for Multiclass Data: Identifiability and Estimation
Steven Culpepper, University of Illinois at Urbana-Champaign; Ying Liu, University of Illinois at Urbana-Champaign
4:55 PM A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data
Wenchao Ma, The University of Alabama
5:15 PM Floor Discussion
 
 

406 !
Thu, 8/12/2021, 2:00 PM - 3:50 PM Virtual
Novel Approaches for Handling Complex Data in Treatment Diagnosis and Evaluation — Topic-Contributed Papers
Biometrics Section, Mental Health Statistics Section, Biopharmaceutical Section
Organizer(s): Thaddeus Tarpey, NYU
Chair(s): Hyung Park, NYU
2:05 PM An Imputation Approach for Estimating Confidence in Personalized Treatment Decisions
Nina Orwitz, NYU Grossman School of Medicine; Eva Petkova, New York University School of Medicine; Thaddeus Tarpey, NYU
2:25 PM Prospective Individual Patient Data Meta-Analysis: Evaluating Convalescent Plasma for COVID-19
Danni Wu, NYU Grossman School of Medicine; Eva Petkova, New York University School of Medicine; Keith Goldfeld, NYU Grossman School of Medicine; Thaddeus Tarpey, NYU
2:45 PM Extracting Scalar Measures from Functional Data with Missingness
Lanqiu Yao, New York University; Thaddeus Tarpey, NYU
3:05 PM Optimal Linear Transformations of Functional Data for Clustering Methods
Hanchao Zhang, New York University Grossman School of Medicine
3:25 PM Discussant: Thaddeus Tarpey, NYU
3:45 PM Floor Discussion
 
 

443
Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Latent Variables, Causal Inference, Machine Learning and Other Topics in Mental Health Statistics — Contributed Speed
Mental Health Statistics Section
Chair(s): Brian Lee Egleston, Fox Chase Cancer Center
4:05 PM A Latent State Space Model for Estimating Brain Sources and Connectivity from Electroencephalogram (EEG) Data
Qinxia Wang, Columbia University; Ji Meng Loh, New Jersey Institute of Technology ; Yuanjia Wang, Columbia University
4:10 PM Adjusting a Patient-Reported Scale for Overlapping Symptoms of Co-Occurring Conditions
Douglas Gunzler, Case Western Reserve University
4:15 PM A Negative Binomial Mixed Effects Location-Scale Model for Physical Activity Data Provided by Wearable Devices
Qianheng Ma, University of Chicago; Genevieve F Dunton, University of Southern California; Donald Hedeker, University of Chicago
4:20 PM Modeling Phone Engagement with Continuous Time Hidden Markov Models
Benny Ren, University of Pennsylvania
4:25 PM Composite Likelihood Estimation for Discrete Data with Latent Structure
Amy Elizabeth Nussbaum, Mount Holyoke College; Cornelis J. Potgieter, Texas Christian University
4:30 PM A Beta-Binomial Model for Latent Accuracy When Estimating Oral Reading Fluency
Cornelis J. Potgieter, Texas Christian University
4:35 PM Latent Trait Shared-Parameter Mixed-Models for Missing Ordinal Ecological Momentary Assessment Data Presentation
John Cursio, University of Chicago; Donald Hedeker, University of Chicago
4:40 PM Missing Data Imputation in MHealth Data
Xiaoxuan Cai, Columbia University; Linda Valeri, Columbia University; Xinru Wang, Columbia University
4:45 PM The Inclusion of Covariates in Constrained Longitudinal Data Analysis for Pre-Post RCTs
Joseph R Rausch, Nationwide Children's Hospital, Ohio State University Medical Center
4:50 PM A Marginal Structural Model for Partial Compliance in SMARTs
William Jeremy Artman, University of Rochester Medical Center; Ashkan Ertefaie, University of Rochester; Kevin Lynch, University of Pennsylvania; James Mckay, University of Pennsylvania; Brent Johnson, University of Rochester
5:00 PM Propensity Scores Approaches to Analyze Longitudinal Data
Sacramento Lais, Universidade Federal da Bahia; Leila Denise A. F. Amorim, Universidade Federal da Bahia (UFBA); Rosemeire Fiaccone, Universidade Federal da Bahia
5:05 PM A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV Presentation
Wei Jin, Department of Applied Mathematics and Statistics, Johns Hopkins University; Yang Ni, Texas A&M University; Leah Rubin, Departments of Neurology and Psychiatry, Johns Hopkins University School of Medicine; Amanda Spence, Department of Medicine, Division of Infectious Disease and Travel Medicine, Georgetown Uni; Yanxun Xu, Department of Applied Mathematics and Statistics, Johns Hopkins University
5:10 PM Tensor Partial Least Squares for the Quantile Regression Model with Multiway Neuroimaging Data
Dayu Sun, Emory University; Limin Peng, Emory University; Ying Guo, Emory University; Amita K. Manatunga, Emory University
5:15 PM Modeling Proportion Data: A Comparison of Beta and Logistic Models
Niloofar Ramezani, George Mason University; Alex Breno, George Mason University; Jill Viglione, University of Central Florida; Jennifer Johnson, Michigan State University; Faye Taxman, George Mason University
5:20 PM An Exploratory Factor Analysis to Investigate the Impact on College Students’ Stress Levels During COVID-19
Edward Huynh, University of Nevada, Las Vegas; Bowen Liu, University of Nevada, Las Vegas; Chengcheng Li, University of Nevada, Las Vegas; Qing Wu, University of Nevada, Las Vegas
5:25 PM Testing a Global Null Hypothesis Using Cross Validated Area Under the ROC Curve
Sunwoo Han, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center
5:20 PM Floor Discussion