Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

12 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-201
Statistical Methods in Mobile Health: New Directions and Innovation — Invited Papers
Mental Health Statistics Section, ENAR, WNAR
Organizer(s): Jane Kim , Stanford University School of Medicine
Chair(s): Ying Kuen Ken Cheung, Columbia University
2:05 PM	Forecasting Mood Scores for Medical Interns Using Data from Mobile Phones and Wearables Presentation Ambuj Tewari, University of Michigan
2:30 PM	Robust Tests in Online Decision-Making: Testing the Utility of Data Collected by Wearables Jane Kim , Stanford University School of Medicine
2:55 PM	A New Contextual Multi-Armed Bandit Algorithm for Semiparametric Reward Model. Presentation Gi-Soo Kim, Seoul National University; Myunghee Cho Paik, Seoul National University
3:20 PM	Stochastic Dynamics in Behavioral Mobile Health: Joint Modeling of Dynamic Health and Engagement Outcomes Walter Dempsey, Harvard University
3:45 PM	Floor Discussion

218952	Mon, 7/29/2019, 7:00 AM - 8:30 AM	H-Granite B
Mental Health Statistics Section Business Meeting — Other Cmte/Business
Mental Health Statistics Section
Chair(s): Booil Jo, Stanford University

144 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-506
Digital Phenotyping — Invited Papers
Mental Health Statistics Section, American Association for the Advancement of Science, Academy for Health Services Research and Health Policy
Organizer(s): Paul Dagum, Mindstrong Health
Chair(s): Robert Dougherty, Mindstrong Health
10:35 AM	Digital Biomarkers in CNS Drug Development Jane Tiller, BlackThorn Therapeutics
10:50 AM	Digital phenotyping as a pathway to targeted treatment in CNS Disorders Isaac Galatzer-Levy, New York University
11:05 AM	Supervised Kernel PCA for Longitudinal Data in Mental Health Presentation Gregory Ryslik, Mindstrong Health; Patrick Staples, Mindstrong Health; Min Ouyang, Mindstrong Health; Paul Dagum, Mindstrong Health
11:20 AM	The Statistical Challenges of Integrating Data Across Multiple Brain Biomarker Sensors in the AURORA Study Presentation Xinming An, Institute for Trauma Recovery, University of North Carolina; Samuel A McLean, Institute for Trauma Recovery, University of North Carolina; Donglin Zeng, UNC Chapel Hill; Ron Kessler, Harvard Medical School
11:35 AM	Digital Phenotypes of Psychiatric Morbidity Paul Dagum, Mindstrong Health
11:50 AM	Discussant: Amit Etkin, Stanford University
12:10 PM	Floor Discussion

200	Mon, 7/29/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Mental Health Statistics Section
Organizer(s): Knashawn Morales, University of Pennsylvania
ML11:	Big Data Poses Bigger Questions in Mental Health Research Samprit Banerjee, Weill Medical College, Cornell University

212 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-505
Scientifically and Clinically Motivated Statistical Methods for Human Brain Data Analysis — Invited Papers
Section on Statistics in Imaging, Mental Health Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Tingting Zhang, University of Virginia
Chair(s): Dehan Kong, University of Toronto
2:05 PM	A Bayesian Stochastic-Blockmodel-Based Approach for Mapping Epileptic Brain Networks Tingting Zhang, University of Virginia
2:25 PM	Covariate-Adjusted Region-Referenced Generalized Functional Linear Model for EEG Data Damla Senturk, UCLA; Aaron Scheffler, UCLA; Donatello Telesca, UCLA; Catherine Sugar, UCLA; Shafali Jeste, UCLA; Abigail Dickinson, UCLA; Charlotte DiStefano, UCLA
2:45 PM	Characterizing the Longitudinal Behavior of Multiple Sclerosis Lesions on Structural Magnetic Resonance Images Presentation Elizabeth Sweeney, Weill Cornell
3:05 PM	Using Neuroimaging to Study Pain Presentation Martin Lindquist, Johns Hopkins University
3:25 PM	Brain Connectivity-Informed Adaptive Regularization for Generalized Outcomes Jaroslaw Harezlak, Indiana University School of Public Health; Damian Brzyski, Wroclaw Technological University; Marta Karas, Johns Hopkins School of Public Health; Beau Ances, Washington University School of Medicine; Joaquin Goni, Purdue University; Mario Dzemidzic, Indiana University School of Medicine; Timothy Randolph, Fred Hutchinson Cancer Research Center
3:45 PM	Floor Discussion

271 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-707
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Statistics in Imaging, Mental Health Statistics Section, WNAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Tingting Zhang, University of Virginia
8:35 AM	Fréchet Regression for Time-Varying Covariance Matrices of Myelination and Regional Co-Evolution Networks in the Developing Brain Hans Mueller, UC Davis; Alexander Petersen, University of California, Santa Barbara; Sean Deoni , Brown University ; Xiongtao Dai, Iowa State University ; Jane-Ling Wang, University of California, Davis
9:00 AM	Tensor Approximation for Partial Quantile Regression in Functional Linear Models Presentation Dengdeng Yu, University of Toronto
9:25 AM	Semiparametric Estimation Under Shape Invariance for fMRI Data Presentation Nicole Lazar, University of Georgia
9:50 AM	Defining the Resolution of Optogenetic Circuit Mapping Shizhe Chen, University of California, Davis; Liam Paninski, Columbia University; Ben Shababo, University of California, Berkeley; Hillel Adesnik, University of California, Berkeley
10:15 AM	Floor Discussion

301 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-210/212
Design and Analysis Tools for Mental Health Research — Contributed Papers
Mental Health Statistics Section
Chair(s): Adam Ciarleglio, The George Washington University
8:35 AM	Sample Size Considerations for Comparing Dynamic Treatment Regimens in a SMART with a Repeated-Measures Outcome Presentation Nicholas Seewald, University of Michigan; Daniel Almirall, University of Michigan
8:50 AM	Latent Class Analysis for Health and Medicine Presentation Douglas Gunzler
9:05 AM	Analyzing Treatment Effects and Moderators in Randomized Pre-Post Clinical Trials Presentation Joseph Rausch, Nationwide Children's Hospital
9:20 AM	Exploring Model Fit Evaluation in Structural Equation Models with Incomplete Ordinal Variables Using the D2 Method Yu Liu, University of Houston; Suppanut Sriutaisuk, University of Houston
9:35 AM	Estimating Treatment Capacity and Annual Client Counts of Substance Abuse Treatment Facilities Maria DeYoreo
9:50 AM	Designing Repeated Measures to Address Subject-Level Heterogeneity in Behavioral and Psychiatric Studies Presentation Abera Wouhib, NIH
10:05 AM	A Matched Case-Control Analysis of Sexual and Gender Minorities’ Health, Emergency Department Visits and Inpatient Stays: Evidence from a Mental Health System Presentation Eric FRIMPONG; Grace Rowan, Office of Mental Health ; David Williams , Office of Quality and Patient Safety ; Mengxuan Li, Office of Mental Health ; Louis Solano, Office of Mental Health ; Sahil Chauldhry , New York State Office of Mnetal Health ; Marleen Radigan , Office of Mental Health

338	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-103
SPEED: Biostatistical Methods, Application, and Education, Part 1 — Contributed Speed
ENAR, Section on Medical Devices and Diagnostics, Mental Health Statistics Section, Quality and Productivity Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Poster Presentations for this session.
10:35 AM	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Presentation Brian Healy, Biostatistics Center/Massachusetts General Hospital
10:40 AM	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
10:45 AM	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Presentation Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
10:50 AM	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Presentation Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
10:55 AM	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
11:00 AM	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
11:05 AM	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
11:10 AM	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Presentation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
11:15 AM	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
11:20 AM	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Presentation Kedai Cheng; Derek Young, University of Kentucky
11:30 AM	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Presentation Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
11:35 AM	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
11:40 AM	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
11:45 AM	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Presentation Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:50 AM	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
11:55 AM	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
12:00 PM	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Presentation Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
12:05 PM	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
12:10 PM	Pre-Conceptions of Statistical Inference in Biostatistics Presentation Aimee Schwab-McCoy, Creighton University

346 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-701
New Methods with Applications in Mental Health Statistics — Contributed Papers
Mental Health Statistics Section
Chair(s): Catherine Durso
10:35 AM	A Parametric Meta-Analysis Presentation Chang Yu, Vanderbilt University; Daniel Zelterman, Yale University School of Public Health
10:50 AM	A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging Presentation Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Dipankar Bandyopadhyay, Virginia Commonwealth University
11:05 AM	Hierarchical Hidden Markov Models for Response Time Data Presentation Deborah Kunkel, Clemson University; Zhifei Yan, Google; Peter F. Craigmile, The Ohio State University; Mario Peruggia, The Ohio State University; Trisha Van Zandt, The Ohio State University
11:20 AM	A Functional Additive Model for Estimating Interactions Between a Treatment and a Large Number of Functional Regressors Hyung Park, New York University; Eva Petkova, New York University; Thaddeus Tarpey, New York University; Todd Ogden, Columbia University
11:35 AM	Modeling Longitudinal Depressive Symptoms in Community-Based Studies Ana W. Capuano, Rush University Medical Center; Jeffrey Dawson, University of Iowa; Sue E Leurgans, Rush University Medical Center; Donald Hedeker, University of Chicago
11:50 AM	Integrative Survival Analysis with Uncertain Event Times in Application to a Suicide Risk Study Wenjie Wang, University of Connecticut; Robert Aseltine, University of Connecticut Health Center; Kun Chen, University of Connecticut; Jun Yan, University of Connecticut
12:05 PM	A New Approach to Functional Regression Mediation Analysis with Application to a Smoking Cessation Intervention Presentation Donna L. Coffman, Temple University; John J. Dziak, Pennsylvania State University; Runze Li, Penn State University; Megan Piper , University of Wisconsin

366	Tue, 7/30/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Mental Health Statistics Section
Organizer(s): Knashawn Morales, University of Pennsylvania
TL10:	Statistical Challenges in Assessing and Modeling Marijuana Use and Other Substance Use Susan Mikulich, University of Colorado AMC

380 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-301
Curious Roles of Latent Variables in Prediction and Inference — Invited Papers
Mental Health Statistics Section, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Booil Jo, Stanford University
Chair(s): Xiao-Li Meng, Harvard University
2:05 PM	Integrated Principal Components Analysis Tiffany M Tang, University of California at Berkeley; Genevera Allen, Rice University
2:25 PM	Forecasting Future Smoking-Related Mortality in 69 Countries: The Vital Role of Latent Variables Yicheng Li, University of Washington; Adrian Raftery, University of Washington
2:45 PM	Latent Variables in Causal Inference: Interpretation and Challenges Presentation Tyler VanderWeele, Harvard University
3:05 PM	Discussant: Robert Tibshirani, Stanford University
3:25 PM	Discussant: Mark van der Laan, UC Berkeley
3:45 PM	Floor Discussion

418	Tue, 7/30/2019, 2:00 PM - 2:45 PM	CC-Hall C
SPEED: Biostatistical Methods, Application, and Education, Part 2 — Contributed Poster Presentations
Section on Medical Devices and Diagnostics, ENAR, Mental Health Statistics Section, Quality and Productivity Section, General Methodology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Oral Presentations for this session.
20:	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
21:	Pre-Conceptions of Statistical Inference in Biostatistics Aimee Schwab-McCoy, Creighton University
22:	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Brian Healy, Biostatistics Center/Massachusetts General Hospital
23:	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
24:	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Kedai Cheng; Derek Young, University of Kentucky
25:	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
26:	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
27:	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
28:	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
29:	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
30:	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
31:	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
32:	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
33:	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
34:	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
35:	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
36:	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
37:	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
38:	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
Oral Presentations for this session.

218963	Tue, 7/30/2019, 6:00 PM - 8:00 PM	Off Site
Mental Health Statistics Section Mixer — Other Cmte/Business
Mental Health Statistics Section
Chair(s): Booil Jo, Stanford University

498 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-505
Designs and Statistical Methods Used in Genetics and Mental Health for Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) — Topic Contributed Papers
Mental Health Statistics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
Chair(s): Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
10:35 AM	Genome-Wide Association Studies of PTSD in 2 Cohorts of US Army Soldiers Presentation Steven Heeringa, University of Michigan Institute for Social Research
10:55 AM	Genome Wide Association Studies of Suicide Attempts in US Soldiers Erin Ware; Murray B. Stein, UCSD; Colter M Mitchell, University of Michigan; Chia-Yen Chen, Broad Institute of MIT and Harvard; Jordan W Smoller, Harvard Medical School
11:15 AM	A Genome-Wide Gene-By-Trauma Interaction Study of Alcohol Misuse in Two Independent Cohorts Identifies PRKG1 as a Risk Locus Presentation Renato Polimanti; Joan Kaufman, Johns Hopkins School of Medicine; Hongyu Zhao, Yale; Henry R. Kranzler, University of Pennsylvania School of Medicine; Robert J Ursano, Uniformed Services University of the Health Sciences; Ron Kessler, Harvard Medical School; Joel Gelernter, Yale University; Murray B. Stein, UCSD
11:35 AM	Discussant: Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School
11:55 AM	Discussant: Wei-Ting Hwang, University of Pennsylvania
12:15 PM	Floor Discussion

521	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Mental Health Statistics Section — Contributed Poster Presentations
Mental Health Statistics Section
Chair(s): Wendy Meiring, University of California At Santa Barbara
1:	ERP Algorithmic Source Separation (ERPASS) in Multi-Task EEG Experiments Emilie Campos, UCLA
2:	Non-Abstinent Treatment Outcomes in Cannabis Use Disorder Martina Pavlicova, Columbia University; Cale Basaraba, NYSPI; Daniel Brooks, NYSPI; John Mariani, NYSPI; Frances Levin, NYSPI

535	Wed, 7/31/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Mental Health Statistics Section P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Mental Health Statistics Section
Organizer(s): Knashawn Morales, University of Pennsylvania
WL11:	Stepping up to the Stepped-Wedge Design: The What, Why and How Donna Spiegelman, Yale School of Public Health

567 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-103
Digital Phenotyping – What Can Wearables and Smartphones Tell Us About Our Mental Health? — Topic Contributed 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): Ivan Diaz, Weill Medical College, Cornell University
2:05 PM	Digital Phenotyping: Opportunities and Challenges Presentation Jukka-Pekka Onnela
2:25 PM	Biostatistical Methods for Wearable and Implantable Technology (WIT) Presentation Ciprian Crainiceanu, Johns Hopkins University
2:45 PM	Functional Data Analysis Approaches for Analyzing Mobile Health Data Jihui Lee, Weill Cornell Medicine; Samprit Banerjee, Weill Medical College, Cornell University
3:05 PM	Clustering of Functional Data to Discover Patterns of Behavioral Trajectories Using Smartphone Data Samprit Banerjee, Weill Medical College, Cornell University; Jihui Lee, Weill Cornell Medicine
3:25 PM	Modeling Smartphone-Based Social Communication with Circadian Trends Presentation Ian Barnett, University of Pennsylvania; Grace Choi, University of Pennsylvania
3:45 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association