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

9 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-111
Impact of Using Surrogate Endpoints on Drug Development — Invited Papers
WNAR, International Chinese Statistical Association, Biopharmaceutical Section
Organizer(s): Ying Lu, Stanford University
Chair(s): Ying Zhang, University of Nebraska Medical Center
2:05 PM	Havrda and Charvat Entropy-Based Measures to Assess Longitudinal Surrogate Endpoints in Clinical Trials María del Carmen Pardo , Complutense University; Ying Lu, Stanford University; Hua Jin, South China Normal University; Qian Zhao, Guangzhou Medical University
2:25 PM	Statistical Considerations for Biomarker-Based Surrogate Endpoints Marc Buyse, IDDI Inc.
2:45 PM	An Information-Theoretic Approach for the Evaluation of Surrogate Endpoints Based on Causal Inference Presentation Ariel Alonso Abad, KUleuven
3:05 PM	Model Free Approach to Quantifying the Proportion of Treatment Effect Explained by a Surrogate Marker Presentation Lu Tian, Stanford University School of Medicine; Tianxi Cai, Harvard University ; Xuan Wang, Harvard University; Layla Parast, RAND
3:25 PM	Discussant: Ying Lu, Stanford University
3:45 PM	Floor Discussion

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

58 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-102
Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era — Invited Panel
Section on Statistics in Genomics and Genetics, WNAR, International Chinese Statistical Association
Organizer(s): Haiyan Huang, University of California, Berkeley
Chair(s): Ruixiao Lu, Genomic Health, Inc.
4:05 PM	Artificial Intelligence (AI) in Healthcare and Medical Research in the Big Data Era Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	Bin Chen, Michigan State University Haoda Fu, Eli Lilly and Company Jean Yee Hwa Yang, University of Sydney, Australia Jing Huang, Veracyte Inc. Ying Lu, Stanford University
5:45 PM	Floor Discussion

85	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-101
Machine Learning in Biomedical Data — Contributed Papers
ENAR, WNAR
Chair(s): Yuchen Yang, Johns Hopkins University
4:05 PM	The Impact of Rater Characteristics on Agreement and Association Using Ordinal Scales Presentation Don Edwards, University of South Carolina; Kerrie Nelson, Boston University
4:20 PM	Missing Data Imputation for Classification Problems Presentation Arkopal Choudhury, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
4:35 PM	Title: Structure Penalized Trees for Ensemble Methods – Robust Prediction for Annual Outcome Data Presentation Grant D Brown, University of Iowa
4:50 PM	Classification with Imperfect Training Labels Timothy I. Cannings, University of Edinburgh; Yingying Fan, University of Southern California; Richard Samworth, University of Cambridge
5:05 PM	Confidence Intervals for the Performance of a Sequence of Diagnostic Tests Beau Nunnally, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology
5:20 PM	Assessment of Classifier Performance Using a Reference Classifier with Known Performance and an Unlabeled Dataset Presentation Alexej Gossmann, U.S. Food and Drug Administration, Center for Devices and Radiological Health; Weijie Chen, Food and Drug Administration; Berkman Sahiner, U.S. Food and Drug Administration, Center for Devices and Radiological Health
5:35 PM	Sensitivity Testing: Issues and Solutions Presentation David H. Collins, Los Alamos National Laboratory; Kimberly Kaufeld, Los Alamos National Laboratory; Michael S. Hamada, Los Alamos National Laboratory; Richard Warr, Brigham Young University

102 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-110
Challenges and Developments in Microbiome Data Science — Invited Papers
ENAR, Section on Statistics in Genomics and Genetics, WNAR
Organizer(s): Zhengzheng Tang, University of Wisconsin-Madison
Chair(s): Long Wang, Johns Hopkins University
8:35 AM	It’s Just a Matter of Perspective - Robust Regression for Microbiome Data via Perspective M-Estimation Christian Lorenz Mueller, Flatiron Institute, Simons Foundation
9:00 AM	Modeling Evolutionary Dynamics of Bacteria in the Human Microbiome Katherine S. Pollard, ASA
9:25 AM	Beta-Diversity Discriminatory Power: Comparison of PERMANOVA, Mirkat, and Using Standard Microbiome Reference Groups Presentation Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics; Yunhu Wan, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:50 AM	Robust and Powerful Differential Composition Tests on Clustered Microbiome Data Zhengzheng Tang, University of Wisconsin-Madison; Guanhua Chen, University of Wisconsin-Madison
10:15 AM	Floor Discussion

114 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-108
Applying the ICH E9(R1) Addendum: Practical Considerations in Choosing Estimands, Estimators, and Sensitivity Analyzes — Topic Contributed Papers
Biopharmaceutical Section, ENAR, WNAR
Organizer(s): Pilar Lim, PhD, Janssen Research & Development, LLC
Chair(s): Pilar Lim, PhD, Janssen Research & Development, LLC
8:35 AM	Descending from the Theoretical to the Practical: Our Journey from Clear Definition to Messy Inference and Back Presentation Michael O'Kelly, IQVIA
8:55 AM	How Should We Select and Define Trial Estimands? – Examples Based on a Disease State Presentation Elena Polverejan, Johnson & Johnson-Janssen R&D
9:15 AM	Implementation of Estimand Framework in Oncology Clinical Trials Presentation Kalyanee Appanna, Novartis Pharmaceutical Corporation; Bharani Dharan, Novartis Pharmaceuticals; Yuanbo Song, Novartis Pharmaceutical Corporation; Ekkehard Glimm, Novartis Pharma AG
9:35 AM	Lessons Learned from Implementing ICH E9 in Phase 2 Trials Across Multiple Therapeutic Areas Presentation Jared Christensen, Pfizer Research
9:55 AM	Discussant: Craig Mallinckrodt, PhD, Biogen
10:15 AM	Floor Discussion

140 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-203
Frontiers of Statistical Genetics: Genomics, Transcriptomics, and PheWAS — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
10:35 AM	Weighted Hypothesis Testing Accounting for Correlated Predictors Li Hsu, Fred Hutchinson Cancer Research Center, USA
11:00 AM	Scalable and Accurate Association Analysis for Big Biobank Data Presentation 1 Presentation 2 Seunggeun Lee, University of Michigan
11:25 AM	Mediation Analyzes for Dissecting the Role of DNA Methylation in Epidemiologic Studies Presentation James Dai, Fred Hutchinson Cancer Research Center
11:50 AM	Predictive Modeling of Transcriptomics in Ancestrally Diverse Populations Presentation Timothy Thornton, University of Washington; Anya Mikhaylova, Universtiy of Washington
12:15 PM	Floor Discussion

229 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-708
Advances in the Neyman-Pearson Classification — Topic Contributed Papers
WNAR, Health Policy Statistics Section, Biometrics Section, Text Analysis Interest Group
Organizer(s): Jingyi Jessica Li, University of California, Los Angeles
Chair(s): Jingyi Jessica Li, University of California, Los Angeles
2:05 PM	Neyman-Pearson Classification: An Umbrella Algorithm Xin Tong, University of Southern California; Yang Feng, Columbia University; Jingyi Jessica Li, University of California, Los Angeles
2:25 PM	A Unified View of Asymmetric Binary Classification Wei Vivian Li, University of California, Los Angeles; Jingyi Jessica Li, University of California, Los Angeles; Xin Tong, University of Southern California
2:45 PM	Neyman-Pearson Classification: Parametrics and Power Enhancement Yang Feng, Columbia University
3:05 PM	Intentional Control of Type I Error Over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification Presentation Richard Zhao, Pennsylvania State University; Lucy Xia, Stanford University; Xin Tong, University of Southern California; Yanhui Wu, University of Southern California
3:25 PM	Neyman-Pearson Criterion (NPC): a Model Selection Criterion for Asymmetric Binary Classification Presentation Yiling Chen, University of California, Los Angeles; Jingyi Jessica Li, University of California, Los Angeles; Xin Tong, University of Southern California
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

377 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-108
New Innovations and Challenges in HGLMs and H-Likelihood — Invited Papers
WNAR, Korean International Statistical Society
Organizer(s): Il Do Ha, Pukyong National University
Chair(s): Dongseok Choi, Oregon Health & Science University
2:05 PM	Analysis of Degradation Data Using Double Hierarchical Generalized Linear Model Presentation Maengseok Noh, Pukyong National University; Youngjo Lee, Seoul National University
2:25 PM	Penalized H-Likelihood Approaches for Various Random-Effects Survival Models Presentation Il Do Ha, Pukyong National University; Youngjo Lee, Seoul National University
2:45 PM	Frailty Mean Residual Life Regression for Clustered Survival Data: a Hierarchical Quasi-Likelihood Method Liming Xiang, Nanyang Technological University; Rui Huang, Nanyang Technological University; Il Do Ha, Pukyong National University
3:05 PM	H-Likelihood Methods in Spatial Statistics: Recent Advances and Future Challenges Debashis Mondal, Oregon State University
3:25 PM	Discussant: Jong-Hyeon Jeong, University of Pittsburgh
3:45 PM	Floor Discussion

436 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-110
Deep Learning for Data Science — Invited Papers
WNAR, ENAR, International Chinese Statistical Association
Organizer(s): Yingying Fan, University of Southern California
Chair(s): Jinchi Lv, University of Southern California
8:35 AM	Dynamic Demand-Supply Network Data Analysis for Ride Sharing Business Hongtu Zhu, DiDi Chuxing and UNC-Chapel Hill
9:00 AM	DeepPINK: Reproducible Feature Selection in Deep Neural Networks Presentation Yingying Fan, University of Southern California
9:25 AM	Learning Grid Cells with Vector Representation of Self-Position and Matrix Representation of Self-Motion Presentation Ying Nian Wu, UCLA
9:50 AM	Discussant: Jun S. Liu, Harvard University
10:10 AM	Floor Discussion

446 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-101
New Statistical Methods in Evolutionary Biology — Invited Papers
Biometrics Section, International Indian Statistical Association, WNAR
Organizer(s): Arindam RoyChoudhury, Cornell University
Chair(s): Arindam RoyChoudhury, Cornell University
9:00 AM	Inferring Tumor Phylogenies Using Single-Cell Sequencing Data Presentation Jing Peng, The Ohio State University; Laura Kubatko, The Ohio State University; Yuan Gao, The Ohio State University
9:25 AM	Neutrality Test on Evolutionary Tree Topologies: Where Statistics, Physics, and Geometric Analysis Meet Dan D. Erdmann-Pham, University of California, Berkeley; Yun S. Song, University of California, Berkeley; Jonathan Terhorst, University of Michigan
9:50 AM	Discussant: Marc Suchard, UCLA
10:00 AM	Discussant: James Degnan, University of New Mexico
10:15 AM	Floor Discussion

450 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-203
Quantitative Inference for the Global Carbon Cycle — Invited Papers
Section on Statistics and the Environment, WNAR, Section on Physical and Engineering Sciences
Organizer(s): Jonathan Hobbs, Jet Propulsion Laboratory
Chair(s): William Kleiber, University of Colorado
8:35 AM	Spatial Retrievals of Carbon Dioxide from the OCO-2 Satellite Matthias Katzfuss, Texas A & M University; Jonathan Hobbs, Jet Propulsion Laboratory; Jenny Brynjarsdottir, Case Western Reserve University; Anirban Mondal, Case Western Reserve University; Daniel Zilber
9:00 AM	Obtaining Carbon Dioxide Flux Estimates from Atmospheric Inversions of Carbon Dioxide Data: Current Methodologies, Successes and Challenges Presentation Andrew Eugene Schuh, Cooperative Institute for Research in the Atmosphere
9:25 AM	The Role of Satellite Data in Making Bayesian Inference on Carbon Dioxide Fluxes: Where, When, How Much, and How Certain? Noel Cressie, University of Wollongong; Andrew Zammit-Mangion, University of Wollongong
9:50 AM	Influence of Prior Covariance Structure on Inverse Estimates of Co2 Fluxes in Los Angeles Basin Vineet Yadav, Jet Propulsion Laboratory, California Institute of Technoloty
10:15 AM	Floor Discussion

453 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-102
Advances on the Analysis of Single-Cell Sequencing Data — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, WNAR, ENAR
Organizer(s): Lingling An, University of Arizona
Chair(s): Xiaoxiao Sun, University of Arizona
8:35 AM	Accurate Correction on Dropout Events in Single-Cell RNAseq Data Presentation Lingling An, University of Arizona; Di Ran, University of Arizona; Shanshan Zhang, University of Arizona; Nick Lytal, University of Arizona
8:55 AM	Advantages of Modeling Zero-Inflation in ScRNA-Seq Data Presentation Davide Risso, University of Padova
9:15 AM	From Bulk to Single-Cell RNA-Seq Data: Differential Gene Expression Analysis Jingyi Jessica Li, University of California, Los Angeles; Yiling Chen, University of California, Los Angeles
9:35 AM	Exploring Topologically Associating Domains (TADs) for Single-Cell Hi-C Data Qunhua Li, Penn State University; Di Wu, University of North Carolina at Chapel Hill
9:55 AM	Novel Methods for Analyzing Population-Based Single Cell Transcriptomic Data Presentation Wei Chen, University of Pittsburgh
10:15 AM	Floor Discussion

454 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-506
Recommender Systems and Large-Margin Machines: From Statistics Perspectives — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Nonparametric Statistics, WNAR
Organizer(s): Helen Zhang, University of Arizona
Chair(s): Helen Zhang, University of Arizona
8:35 AM	Flexible Low-Rank Statistical Modeling with Missing Data and Side Information Presentation Rahul Mazumder, MIT; William Fithian, University of California at Berkeley
8:55 AM	Two Improvements to the Matrix Factorization Approach for Recommender Systems Presentation Mu Zhu, University of Waterloo
9:15 AM	Smooth Recommender Systems Ben Dai, University of Minnesota; Xiaotong Shen, University of Minnesota; Annie Qu, University of Illinois at Urbana-Champaign
9:35 AM	Discussant: Feng Liang, University of Illinois at Urbana Champaign
9:55 AM	Discussant: Boxiang Wang, University of Iowa
10:15 AM	Floor Discussion

480 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-203
Novel Statistical Methods for Bioinformatics and Computational Biology — Invited Papers
Section on Statistics in Genomics and Genetics, Section on Statistical Computing, WNAR
Organizer(s): Ping Ma, University of Georgia
Chair(s): Ping Ma, University of Georgia
10:35 AM	Statistical Methods for Single Cell Regulomics Sunduz Keles, UW Madison; Daniel Conn, University of Wisconsin
11:00 AM	Bayesian Detection of Convergent Rate Changes of Conserved Noncoding Elements on Phylogenetic Trees Presentation Scott V Edwards, Harvard University; Jun S. Liu, Harvard University; Zhirui Hu, Harvard University; Timothy B Sackton, Harvard University
11:25 AM	Reference-Free Learning with Multiple Metagenomic Samples Presentation Wenxuan Zhong, University of Georgia
11:50 AM	B-Scaling: A Novel Nonparametric Data Fusion Method Yiwen Liu, University of Arizona; Xiaoxiao Sun, University of Arizona; Wenxuan Zhong, University of Georgia; Bing Li, The Pennsylvania State University
12:15 PM	Floor Discussion

529	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: WNAR — Contributed Poster Presentations
WNAR
Chair(s): Wendy Meiring, University of California At Santa Barbara
89:	Non-Inferiority Designs Comparing Placebo to a Proven Therapy for Childhood Pneumonia in Low Resource Settings Susanne May, University of Washington; Siobhan Brown, University of Washington; Robert Schmicker, University of Washington; Scott Emerson, University of Washington; Evangelyn Nkwopara, Save the Children; Amy Ginsburg, Save the Children
90:	An Adjusted Partial Least Squares Regression Framework for Environmental Mixture Data Analysis Ruofei Du, University of New Mexico Comprehensive Cancer Center; Timothy Ozechowski, University of New Mexico Health Sciences Center
91:	Outcome Dependent Sampling Designs for Longitudinal Studies Utilizing Existing Cohort Studies: Quantifying Possible Biases Due to Study Dropout Melissa Wilson, Colorado School of Public Health - Denver\|Anschutz, Dept. Biostatistics and Informatics; Samantha MaWhinney, University of Colorado Anschutz Medical Campus; Jose Castillo-Mancilla, University of Colorado - Denver\|Anschutz, Dept. of Medicine, Division of Infectious Diseas; Kristine Erlandson, University of Colorado - Denver\|Anschutz, Dept. of Medicine, Division of Infectious Diseas
92:	A Semiparametric Approach to Modeling Nonlinear Longitudinal Drug Concentration Data Utilizing Standard Software Samantha MaWhinney, University of Colorado Anschutz Medical Campus; Mary Morrow, Colorado School of Public Health; Jose Castillo-Mancilla, University of Colorado - Denver\|Anschutz, Dept. of Medicine, Division of Infectious Diseas; Peter Anderson, University of Colorado, School of Pharmacy
93:	Causes, Impact, and Methods for Mitigation of Covariate Imbalance by Treatment Arm in Stepped Wedge Designs Erin Leister Chaussee, Colorado School of Public Health; Diane Fairclough, Colorado School of Public Health; Debashis Ghosh, University of Colorado Anschutz Medical Campus
94:	Data Design Issues to Consider in Studies Utilizing Smart Devices to Monitoring Treatment Adherence Mary Morrow, Colorado School of Public Health; Samantha MaWhinney, University of Colorado Anschutz Medical Campus; Ryan Huntley, University of Colorado School of Pharmacy; Kristina Brooks, University of Colorado School of Pharmacy; Jennifer Kiser, University of Colorado School of Pharmacy
95:	Extension of Three Mode Principal Components Analysis for Use with Various Distance Measures with Application to Microbiome Data Kayla Williamson, Colorado School of Public Health; J. Kirk Harris, University of Colorado, Anschutz Medical Cam; Debashis Ghosh, University of Colorado Anschutz Medical Campus; Brandie Wagner, Colorado School of Public Health

549 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-107
Optimal Designs for Modeling Asymmetries in Big Data — Invited Papers
WNAR, IMS, International Chinese Statistical Association
Organizer(s): Milan Stehlik, Johannes Kepler University and University of Valparaiso
Chair(s): Ying Lu, Stanford University
2:05 PM	Optimal Experimental Designs for Skewed Data via Cuckoo Algorithm Presentation Guanghao Qi, Johns Hopkins University; Weng Kee Wong, UCLA
2:30 PM	Subdata Selection Methods Presentation John Stufken, Arizona State University
2:55 PM	Adjusting for Bias Induced by Informative Adaptive Designs Presentation Nancy Flournoy, University of Missouri; Assaf P Oron, Institute for Disease Modeling
3:20 PM	Discussant: Milan Stehlik, Johannes Kepler University and University of Valparaiso
3:40 PM	Floor Discussion

594 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-708
Recent Advances in Statistical Modeling for Multivariate/Correlated/Time-Varying Longitudinal Data — Invited Papers
WNAR, Korean International Statistical Society
Organizer(s): Byung S Park, Oregon Health & Science University
Chair(s): Byung S Park, Oregon Health & Science University
8:35 AM	Quantile Regression Based Methods for Characterizing Highly Correlated Behavioral Data in Relation to Longitudinal Biomarkers with Censored Values MinJae Lee, University of Texas McGovern Medical School; Michelle Vidoni, Univ. of Texas Health Science Center at Houston; Belinda Reininger, Univ. of Texas School of Public Health
9:00 AM	Statistical Inference in a Growth Curve Quantile Regression Model Presentation Hyunkeun Cho, University of Iowa, College of Public Health
9:25 AM	Unified Multivariate Longitudinal Analysis Using Dynamic Copula Models Presentation Wei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH; Colin O. Wu, National Heart, Lung and Blood Institute, National Institutes of Health; Xin Tian, National Heart, Lung and Blood Institute, National Institutes of Health; Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Science
9:50 AM	Longitudinal Predictive Risk Modeling Seonjin Kim, Miami University; Hyunkeun Cho, University of Iowa, College of Public Health; Mi-Ok Kim, University of California San Francisco; Zhuangzhuang Liu, University of Iowa
10:15 AM	Floor Discussion

627 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-605
Advancing the Statistical Analysis of Neuroimaging Data — Invited Papers
Section on Statistics in Imaging, Biometrics Section, WNAR
Organizer(s): Xin Zhang, Florida State University
Chair(s): Xin Zhang, Florida State University
10:35 AM	Deep Learning in Neuroimaging Genetics Wei Pan, University of Minnesota
11:00 AM	Statistical Approaches for Disentangling the Nature of Brain Lesions Russell Shinohara, University of Pennsylvania
11:25 AM	Statistical Methods for Reliable and Reproducible Brain Network Analysis Presentation Ying Guo, Emory University; Suprateek Kundu, Emory University; Ixavier A. Higgins, Emory University; Joshua D. Lukemire, Emory University
11:50 AM	A Consolidated Nonparametric Analytical Approach for Neuroreceptor Mapping with PET Imaging Data Presentation Todd Ogden, Columbia University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association