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

219010	Sun, 7/28/2019, 7:30 AM - 3:30 PM	H-Capitol Ballroom 2
NISS Writing Workshop Day 1 — Other ICW
NISS/ASA Writing Workshop, ENAR, International Chinese Statistical Association, International Indian Statistical Association, IMS, Korean International Statistical Society
Organizer(s): Randy Freret, NISS

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

17 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-104
New Frontiers in Adaptive Clinical Trial Designs — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, International Chinese Statistical Association
Organizer(s): Lei Gao, Vertex Pharmaceuticals
Chair(s): Lei Gao, Vertex Pharmaceuticals
2:05 PM	A Case Study of Phase II/III Seamless Adaptive Design Hui Quan, Sanofi US; Yi Xu, Sanofi; Yixin Chen, Sanofi; Lei Gao, Vertex Pharmaceuticals; Xun Chen, Sanofi
2:25 PM	Bayesian Adaptive Approach for Neoadjuvant/Adjuvant Oncology Trial Jing Zhao, Merck Research Labs
2:45 PM	Sample Size Re-Estimation in Action: Design Consideration, Charter Development, and Implementation of Analyzes in a Trial with Survival Endpoints Presentation Adam Hamm, Cytel, Inc.
3:05 PM	Similarity-Based Artificial Intelligence for Adaptive Clinical Trial and Beyond Mark Chang, Veristat; Susan Hwang, Boston University
3:25 PM	An Efficient Sample Size Adaptation Strategy with Adjustment of Randomization Ratio Yijie Zhou, Vertex
3:45 PM	Floor Discussion

33	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-701
Statistical Methods in Public Health Research — Contributed Papers
International Chinese Statistical Association
Chair(s): Delong Liu, NHLBI/NIH
2:05 PM	Toward Automatic Segmentation, Tracking and Classification by Machine Learning for Medical Images Henry Lu, National Chiao Tung University
2:20 PM	Scheduling of the Upcoming Screening Exam Using CT in Lung Cancer Dongfeng Wu, University of Louisville; Karen Kafadar, University of Virginia
2:35 PM	Path-Tracked Spatial-Temporal Prediction of PM2.5 Lei Chen, Peking University
2:50 PM	A Cluster-Adjusted Rank-Based Test for a Clinical Trial Concerning Multiple Endpoints with Application to Dietary Intervention Assessment Presentation Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH; Wei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH; Larry Tang, George Mason University; Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Science
3:05 PM	Loss and Gain in Power Due to Correlation Between Co-Primary Endpoints in Clinical Trials Presentation Zhiying You, University of Colorado Anschutz Medical Campus ; Qing Li, San Diego State University ; Xiaolan You, Duke University
3:20 PM	Likelihood-Based Analysis of the Statistical Effects of a Treatment on an Outcome Presentation Kai Wang, University of Iowa
3:35 PM	Lower Bounds for Accuracy of Estimation in High Angular Resolution Diffusion Imaging Data Chitrak Banerjee, Michigan State University; Lyudmila Sakhanenko, Michigan State University

48 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-104
New Frontiers in High-Dimensional and Complex Data analyses — Invited Papers
Biometrics Section, International Chinese Statistical Association, Section on Nonparametric Statistics
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Lexin Li, University of California at Berkeley
4:05 PM	Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation Runze Li, Penn State University
4:30 PM	Dimension Reduction for High-Dimensional Censored Data Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
4:55 PM	Network Response Regression for Modeling Population of Networks with Covariates Emma Jingfei Zhang, University of Miami; Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
5:20 PM	Penalized Empirical Likelihood for the Sparse Cox Model Dongliang Wang, SUNY Upstate Medical University; Tong Tong Wu, University of Rochester; Yichuan Zhao, Georgia State University
5:45 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

218813	Sun, 7/28/2019, 6:00 PM - 9:00 PM	H-Centennial Ballroom A
International Chinese Statistical Association Board Meeting — Other ICW
International Chinese Statistical Association
Organizer(s): Gang Li, Janssen

103 !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-205
New Developments on Statistical Machine Learning — Invited Papers
IMS, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Jianqing Fan, Princeton Univeristy
Chair(s): Yingying Fan, University of Southern California
8:35 AM	Deep Knockoffs Machines Presentation Emmanuel Candes, Stanford University; Yaniv Romano, Stanford University; Matteo Sesia, Stanford University
9:00 AM	Statistical and Computational Guarantees of EM with Random Initialization Harrison H. Zhou, Yale Uinversity ; Yihong Wu, Yale University
9:25 AM	Single-Index Thresholding in Quantile Regression Presentation Huixia Judy Wang, The George Washington University; Yingying Zhang, Fudan University; Zhongyi Zhu, Fudan University
9:50 AM	Transfer Learning for Nonparametric Classification T. Tony Cai, The Wharton School, University of Pennsylvania
10:15 AM	Floor Discussion

115 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-201
Novel Statistical Methods for Emerging Problems in Modern Clinical Trials and Drug Development — Topic Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Yuan Ji, The University of Chicago
Chair(s): Inna Perevozskaya, GSK
8:35 AM	Optimal Selection Procedures and Adaptive Designs for Seamless Phase 2/3 Clinical Trials Presentation Vladimir Dragalin, Janssen R&D
8:55 AM	Master Protocol and Designs for Setting Where Randomized Controlled Trials Are Not Feasible* Sue-Jane Wang, Center for Drug Evaluation and Research U.S. Food and Drug Administration
9:15 AM	A Unified Framework for Time-To-Toxicity Dose-Finding Designs in Immune and Non-Immune Clinical Trials Presentation Yuan Ji, The University of Chicago; Tianjian Zhou, The University of Chicago
9:35 AM	Bayesian Models for Precision Oncology Clinical Trials Presentation Peter Müller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Don Berry, MDACC; Apostolia Tsimberidou, MDACC
9:55 AM	Robust Clinical Trial Design and Analysis When Non-Proportional Hazards Are Likely Keaven Anderson, Merck & Company, Inc.
10:15 AM	Floor Discussion

122 !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-603
Novel Statistical Methods in the Analysis of Big Data — Topic Contributed Papers
Section on Statistical Computing, International Chinese Statistical Association, Section on Statistical Learning and Data Science
Organizer(s): Elizabeth Schifano, University of Connecticut
Chair(s): Ming-Hui Chen, University of Connecticut
8:35 AM	Online Updating of Survival Analysis Elizabeth Schifano, University of Connecticut; Jing Wu, University of Rhode Island; Ming-Hui Chen, University of Connecticut; Jun Yan, University of Connecticut
8:55 AM	Optimal Subsampling: Sampling with Replacement Vs Poisson Sampling HaiYing Wang, University of Connecticut; Jiahui Zou, Academy of Mathematics and Systems Science, Chinese Academy of Sciences
9:15 AM	Leverage Score Sampling for Multidimensional Streaming Time Series Shuyang Bai, University of Georgia; Rui Xie, University of Georgia; Ping Ma, University of Georgia; Wenxuan Zhong, University of Georgia; Zengyan Wang, University of Georgia
9:35 AM	Subsampled Information Criterion for Bayesian Model Selection in Big Data Setting Guanyu Hu, University of Connecticut; Lijiang Geng, University of Connecticut ; Yishu Xue, University of Connecticut
9:55 AM	Modified Multidimensional Scaling Qiang Sun, University of Toronto
10:15 AM	Floor Discussion

123 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-301
New Challenges and Opportunities in Nonparametric Statistics — Topic Contributed Papers
Section on Nonparametric Statistics, IMS, International Chinese Statistical Association
Organizer(s): Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
Chair(s): Derek Young, University of Kentucky
8:35 AM	High-Dimensional Robust Covariance Matrix Estimation for Compositional Microbiome Data Arun Srinivasan, Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Xiang Zhan, Penn State University
8:55 AM	Two Sample High-Dimensional Covariance Test Danning Li, Penn State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences; Xiufan Yu, Penn State University
9:15 AM	A General Framework for Sparse Sufficient Dimension Reduction Presentation Wei Luo, Zhejiang University
9:35 AM	On Dual Model-Free Variable Selection with Two Groups of Variables Yuexiao Dong, Temple University; Ahmad Alothman, Kuwait University; Andreas Artemiou, Cardiff University
9:55 AM	Temporal Exponential-Family Random Graph Models with Time-Evolving Latent Block Structure for Dynamic Networks Kevin Lee, Western Michigan University; Amal Agarwal, The Pennsylvania State University; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
10:15 AM	Floor Discussion

141 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-607
Statistical Understanding of Deep Learning — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Will Wei Sun, Purdue University
Chair(s): Will Wei Sun, Purdue University
10:35 AM	Stein Neural Sampler Guang Cheng, Purdue Statistics; Tianyang Hu, Purdue Statistics; Zixiang Chen, Tsinghua Statistics; Hanxi Sun, Purdue Statistics; Jincheng Bai, Purdue Statistics; Mao Ye, Purdue Statistics
11:00 AM	ALMOND: Adaptive Latent Modeling and Optimization via Neural Networks and Langevin Diffusion Presentation Xiao Wang, Purdue University; Yixuan Qiu, Carnegie Mellon University
11:25 AM	Some Statistical Insights into Deep Learning Hao Wu, University of Southern California; Yingying Fan, University of Southern California; Jinchi Lv, University of Southern California
11:50 AM	Data-Dependent Regularization and Generalization Bounds of Deep Neural Networks Presentation Tengyu Ma, Stanford University
12:15 PM	Floor Discussion

159 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-302
Novel Approaches for Diagnostics and Prediction with Complex Data — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Medical Devices and Diagnostics
Organizer(s): Wei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH
Chair(s): Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH
10:35 AM	Assessing the Incremental Value of New Biomarkers Based on or Rules Ying Huang, Fred Hutchinson Cancer Research Center; Lu Wang, Fred Hutchinson Cancer Research Center; Alex R. Luedtke, Dept. of Statistics- University of Washington
10:55 AM	Statistical Monitoring of Hemodialysis Treatments via Raman Spectral Analysis Pang Du, Virginia Tech; Yunnan Xu, Virginia Tech
11:15 AM	Recent Advances in Statistical Methods for Biomarker Evaluation: Naïve Pooling Vs Umbrella Ordering Presentation Lili Tian, SUNY at Buffalo; Yingdong Feng, SUNY at Buffalo; Dan Wang, Eli Lilly
11:35 AM	A Resample-Replace Lasso Procedure for Combining High-Dimensional Markers with Limit of Detection Presentation Yunpeng Zhao, Arizona State Univ; Jinjuan Wang, University of Chinese Academy of Sciences; Larry Tang, George Mason University; Claudius Mueller, George Mason University; Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Science
11:55 AM	A Joint Prediction Model with Partial Network Data with Informative Cluster Size Danping Liu, National Cancer Institute
12:15 PM	Floor Discussion

186	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: International Chinese Statistical Association — Contributed Poster Presentations
International Chinese Statistical Association
Chair(s): Wendy Meiring, University of California At Santa Barbara
8:	A Bayesian Approach to Factor Screening for Multivariate Responses I-Tang Yu
9:	Sufficient Dimension Reduction via Fourier Transformation Pei Wang, University of Kentucky; Xiangrong Yin, University of Kentucky
10:	Sparse SIR: Optimal Rates and Adaptive Estimation Kai Tan
11:	Unobserved Covariate Imbalance of Covariate-Adaptive Randomized Experiments Yang Liu, George Washington University; Feifang Hu, George Washington University
12:	A Rank-Based Regression Tree for Subgroup Identification Xiang Peng, The George Washington University; Huixia Judy Wang, The George Washington University
13:	Detecting Statistical Interactions via Additive Neural Network Fan Wu, Purdue University; Tianyang Hu, Purdue Statistics

237	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-501
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 1 — Contributed Speed
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Poster Presentations for this session.
2:05 PM	Multivariate Association Analysis with Correlated Traits in Families Presentation Souvik Seal, Division of Biostatistics, University of Minnesota
2:10 PM	Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study Presentation Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
2:15 PM	Rare Variant Association Tests for Multiple Ancestries Using Common Controls Presentation Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
2:20 PM	GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics Wei Jiang, Yale University; Hongyu Zhao, Yale
2:25 PM	Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
2:25 PM	Sparse Mediation Analysis Using Mixture Models Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
2:30 PM	Fine Mapping Causal Variants with Functional Annotations Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
2:35 PM	Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
2:40 PM	Trait Evolution on Two Gene Trees Presentation James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
2:45 PM	Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
2:50 PM	An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
3:00 PM	Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics Presentation Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
3:05 PM	A Flexible Bayesian Framework to Study Viral Trait Evolution Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
3:10 PM	Fully Bayesian Imputation Model for MNAR Data in QPCR Presentation Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
3:15 PM	Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models Presentation Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
3:20 PM	Prediction with Microbiome Sequencing Data via Multi-Kernel Learning Presentation Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
3:25 PM	A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree Presentation Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
3:30 PM	A New Sparse Network Model for High-Throughput Count Data Presentation Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
3:35 PM	A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data Presentation Shuang Jiang, Southern Methodist University
3:45 PM	A Feature Allocation Model for Cytometry by Time-Of-Flight Data Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center

293 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-507
Recent Advances in Lifetime Data Analysis — Topic Contributed Papers
Lifetime Data Science Section, Section on Risk Analysis, International Chinese Statistical Association
Organizer(s): Mei-Ling Ting Lee, University of Maryland
Chair(s): Chung-Chou H. Chang, University of Pittsburgh
8:35 AM	Estimations of the Joint Distribution of Failure Time and Failure Type with Prevalent Survival Data Yu-Jen Cheng, National Tsing Hua University; Mei-Cheng Wang, Johns Hopkins University; Chang-Yu Tsai, National Tsing Hua University
8:55 AM	Function-Based Hypothesis Testing in Uncensored and Censored Two-Sample Location-Scale Models Presentation Sundarraman Subramanian, New Jersey Institute of Technology
9:15 AM	Variable Screening with Multiple Studies and Its Application in Survival Analysis Presentation Tianzhou Ma, University of Maryland College Park; Zhao Ren, University of Pittsburgh; George Tseng, University of Pittsburgh; Mei-Ling Ting Lee, University of Maryland; Takumi Saegusa, University of Maryland
9:35 AM	Distribution-Free Threshold Regression for Time-To-Event Analysis Presentation Mei-Ling Ting Lee, University of Maryland; George A Whitmore, McGill University
9:55 AM	Discussant: George A Whitmore, McGill University
10:15 AM	Floor Discussion

297	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-501
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, International Chinese Statistical Association, Quality and Productivity Section, Section on Statistical Graphics, Section on Physical and Engineering Sciences, ASA LGBT Concerns Committee, Section on Statistics in Imaging
Chair(s): Rajarshi Guhaniyogi, University of California, SC
Poster Presentations for this session.
8:35 AM	Subfield Yield Analysis for Precision Agriculture Presentation Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
8:40 AM	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Presentation Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
8:45 AM	A Bayesian Approach for Estimating Earth’s "missing" Minerals Presentation Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
8:50 AM	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
8:55 AM	Air Pollutant Prediction from Precipitation Presentation 1 Presentation 2 Presentation 3 Patrick Chang, JLS Middle School
9:00 AM	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Presentation 1 Presentation 2 Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
9:05 AM	Exploratory Data Analysis of US Air Quality Presentation Xuemao Zhang, East Stroudsburg University
9:10 AM	Visualizing a Cyber Physical System in Drill Down Perspective Presentation Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
9:15 AM	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
9:20 AM	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Presentation 1 Presentation 2 Maoran Xu, University of Florida; Li Duan, University of Florida
9:30 AM	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Presentation Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
9:35 AM	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
9:40 AM	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
9:45 AM	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
9:50 AM	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
9:55 AM	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
10:00 AM	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
10:05 AM	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
10:10 AM	Clustering and Classification of Exocytic Events Presentation Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
10:15 AM	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Presentation Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA

310	Tue, 7/30/2019, 9:25 AM - 10:10 AM	CC-Hall C
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 2 — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Oral Presentations for this session.
1:	Multivariate Association Analysis with Correlated Traits in Families Souvik Seal, Division of Biostatistics, University of Minnesota
2:	Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
3:	Rare Variant Association Tests for Multiple Ancestries Using Common Controls Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
4:	GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics Wei Jiang, Yale University; Hongyu Zhao, Yale
5:	Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
6:	Fine Mapping Causal Variants with Functional Annotations Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
7:	Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
8:	Trait Evolution on Two Gene Trees James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
9:	Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
10:	An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
11:	Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
12:	A Flexible Bayesian Framework to Study Viral Trait Evolution Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
13:	Fully Bayesian Imputation Model for MNAR Data in QPCR Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
14:	Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
15:	Prediction with Microbiome Sequencing Data via Multi-Kernel Learning Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
16:	A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
17:	A New Sparse Network Model for High-Throughput Count Data Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
18:	A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data Shuang Jiang, Southern Methodist University
19:	Sparse Mediation Analysis Using Mixture Models Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
20:	A Feature Allocation Model for Cytometry by Time-Of-Flight Data Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center
Oral Presentations for this session.

313 !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-201
Recent Developments in Statistical Inference Using Distance Correlation and Related Dependence Metrics — Invited Papers
Section on Nonparametric Statistics, Journal of Nonparametric Statistics, International Chinese Statistical Association
Organizer(s): Xiaofeng Shao, University of Illinois At Urbana-Champaign
Chair(s): Xianyang Zhang, Texas A&M University
10:35 AM	Distance-Based Independence Screening for Canonical Analysis Xiaoming Huo, Georgia Institute of Technology; Chuanping Yu, Georgia Institute of Technology
11:00 AM	Dependence Measures in Metric Spaces: From Distance Correlation to Earth Mover's Correlation Gabor Szekely, NSF
11:25 AM	Distance-Based and RKHS-Based Dependence Metrics in High Dimension Xiaofeng Shao, University of Illinois At Urbana-Champaign
11:50 AM	Expected Conditional Characteristic Function-Based Measures for Testing Independence Presentation Xiangrong Yin, University of Kentucky; Chenlu Ke, University of Kentucky
12:15 PM	Floor Discussion

362	Tue, 7/30/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Graphics, International Chinese Statistical Association, Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistics in Imaging, ASA LGBT Concerns Committee
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21:	Subfield Yield Analysis for Precision Agriculture Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
22:	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
23:	A Bayesian Approach for Estimating Earth’s "missing" Minerals Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
24:	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
25:	Air Pollutant Prediction Using Precipitation Patrick Chang, JLS Middle School
26:	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
27:	Exploratory Data Analysis of US Air Quality Xuemao Zhang, East Stroudsburg University
28:	Visualizing a Cyber Physical System in Drill Down Perspective Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
29:	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
30:	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Maoran Xu, University of Florida; Li Duan, University of Florida
31:	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
32:	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
33:	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
34:	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
35:	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
36:	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
37:	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
38:	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
39:	Clustering and Classification of Exocytic Events Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
40:	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA
Oral Presentations for this session.

374 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-605
Statistics in Biosciences (SIB) Special Invited Session – Impacts of Statistics in Genomics and Imaging — Invited Papers
International Chinese Statistical Association, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Hongzhe Li, University of Pennsylvania
Chair(s): Hongzhe Li, University of Pennsylvania
2:05 PM	Alignment and Integrative Analysis of Single-Cell RNA-Seq and Single-Cell ATAC-Seq Data Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:35 PM	Functional Graphical Modeling and Applications in Brain Connectivity Analysis Presentation Lexin Li, University of California at Berkeley
3:05 PM	Gene-Set Integrative Analysis of Multi-Omics Data Using Tensor-Based Association Tests Meng Yang, North Carolina State University; Wenbin Lu, North Carolina State University; Fan Zhang, University at Buffalo; Jeff Miecznikowski, University at Buffalo; Jung-Ying Tzeng, North Carolina State University
3:35 PM	Floor Discussion

381 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-706
Recent Advances in Multiple Testing and False Discovery Rate Analysis — Invited Papers
IMS, International Chinese Statistical Association, International Statistical Institute
Organizer(s): Wenguang Sun, University of Southern California
Chair(s): Jacob Bien, University of Southern California
2:05 PM	A New Approach for Large-Scale Multiple Testing with Application to FDR Control for Graphically Structured Hypotheses Presentation Wenge Guo, New Jersey Institute of Technology; Gavin Lynch, Catchpoint Systems, Inc.; Joseph P. Romano, Stanford University
2:25 PM	Optimal False Discovery Rate Control in the Two-Group Model Presentation Ruth Heller, Tel-Aviv University; Saharon Rosset, Tel Aviv University
2:45 PM	SOAR: Structure Online--Adaptive Rules for False Discovery Rate Control in Dynamic Models Wenguang Sun, University of Southern California; Weinan Wang, Snap Inc.
3:05 PM	Closed Testing and Admissibility of Procedures Controlling False Discovery Proportions Presentation Jelle Goeman, Leiden University Medical Center; Jesse Hemerik, University of Oslo; Aldo Solari, University of Milano-Bicocca
3:25 PM	Adapting to One- and Two-Way Classified Structures of Hypotheses While Controlling False Discoveries Presentation Sanat K Sarkar, Temple University
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

456 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-207
Design and Analysis of Cancer Immunotherapy Trials with Complex Survival Patterns — Topic Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Zhenzhen Xu , FDA
Chair(s): Bifeng Ding, Amgen
8:35 AM	Survival Analysis Using a 5-STAR Approach in Randomized Clinical Trials Devan Mehrotra, Merck & Co., Inc; Rachel Marceau West, Merck & Co., Inc.
8:55 AM	Designing Cancer Immunotherapy Trials with Complex Survival Patterns Zhenzhen Xu , FDA; BIN ZHU, NIH/NCI; YONGSOEK PARK, University of Pittsburg, Department of Biostatistics
9:15 AM	Robust Group Sequential Designs for Immunotherapy Trials Pranab Ghosh, Cytel Inc.; Cyrus Mehta, Cytel
9:35 AM	A Flexible Test/Estimation Coherent Approach to Evaluate the Treatment Effect of Immunotherapy on Time-To-Event Outcomes Hajime Uno, Dana-Farber Cancer Institute; Miki Horiguchi, Kitasato University; Lu Tian, Stanford University School of Medicine
9:55 AM	Discussant: Shiowjen Lee, FDA
10:15 AM	Floor Discussion

482 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-702
Statistical Methods in the Analysis of High-Order Structural Data with Possible Structural Changes — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, ENAR
Organizer(s): Peter X.K. Song , School of Public Health, University of Michigan
Chair(s): Peter X.K. Song , School of Public Health, University of Michigan
10:35 AM	Tensor Regression and Imaging-Based Inference Presentation Heping Zhang, Yale University; Long Feng, Yale University; Xuan Bi, University of Minnesota
11:00 AM	Individualized Multilayer Tensor Learning with An Application in Imaging Analysis Xiwei Tang, University of Virginia; Xuan Bi, University of Minnesota; Annie Qu, University of Illinois at Urbana-Champaign
11:25 AM	Simultaneous Change Point Detection and Structure Recovery for High-Dimensional Gaussian Graphical Models Yufeng Liu, University of North Carolina at Chapel Hill
11:50 AM	Generative Link Prediction for Incomplete Networks with Node Features Ji Zhu, University of Michigan
12:15 PM	Floor Discussion

493 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-506
Leveraging Historical Data and Real World Evidence in Drug Development Program Evaluation — Topic Contributed Papers
Health Policy Statistics Section, Biopharmaceutical Section, International Chinese Statistical Association
Organizer(s): Freda Cooner, Amgen Inc.
Chair(s): Yang Wang, Amgen
10:35 AM	From Quantitative Drug Safety to Real-World Evidence: Activities at the US FDA Hana Lee, U.S Food and Drug Administration; Mark Levenson, FDA CDER
10:55 AM	Leveraging Historical Data in Diabetes Cardiovascular Outcome Trials Shuang Li, Southern Methodist University; Freda Cooner, Amgen
11:15 AM	Sources of Data and Statistical Strategies for Design and Analysis: Real World Insights Presentation Olga Marchenko, Bayer
11:35 AM	Real World Evidence Use in CBER Jennifer Kirk, FDA, Center for Biologics Evaluation and Research (CBER)
11:55 AM	Discussant: Freda Cooner, Amgen Inc.
12:15 PM	Floor Discussion

510	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-501
Recent Development in Semiparametric and Nonparametric Methods — Contributed Papers
International Chinese Statistical Association
Chair(s): Qi Qi, University of Connecticut
10:35 AM	Asymptotically Constant Risk Estimator of the Time-Average Variance Constant Chun-Yip Yau, Chinese University of Hong Kong
10:50 AM	Nonparametric Estimation of Distributions Based on Group Testing Results with Differential Misclassification Presentation Wei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH; Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH; Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Science; Paul Albert , National Cancer Insititute
11:05 AM	Regression Analysis of Sparse Asynchronous Longitudinal Data with Informative Observation Times Presentation Dayu Sun, University of Missouri; Hui Zhao, Zhongnan University of Economics and Law; Jianguo Sun, University of Missouri
11:20 AM	Bayesian Penalized Spline Estimation for Generalized Partially Linear Single Index Models Using JAGS Zhaohu(Jonathan) Fan, University of Cincinnati; Yan Yu, University of Cincinnati
11:35 AM	Nonparametric Tests for Multivariate Growth Curve Data: Practical Procedures in Finite Samples Ting Zeng, University of Kentucky; Solomon W. Harrar, University of Kentucky
11:50 AM	Nonparametric Multivariate Tests for Association Yan Xu; Solomon W. Harrar, University of Kentucky
12:05 PM	Floor Discussion

542 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-507
New Research Synthesis Methods in Data Science — Invited Papers
International Chinese Statistical Association, Section on Statistics in Epidemiology, Health Policy Statistics Section
Organizer(s): Haitao Chu, University of Minnesota
Chair(s): Jing Zhang, University of Maryland College Park
2:05 PM	Bayesian Inference for Network Meta-Regression Using Multivariate Random Effects with Applications to Cholesterol-Lowering Drugs Presentation Joseph G Ibrahim, UNC; Sungduk Kim, NIH; Ming-Hui Chen, University of Connecticut; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.; Hao Li, Boehringer Ingelheim; Andrew Tershakovec, Merck, Inc
2:30 PM	Innovative Methods for Assessing Publication Bias in Meta-Analysis Lifeng Lin, Florida State University
2:55 PM	Bayesian Meta-Regression Model Using Heavy-Tailed Random-Effects with Missing Sample Sizes for Self-Thinning Meta-Data Zhihau Ma, Jinan University and University of Connecticut ; Ming-Hui Chen, University of Connecticut; Yi Tang, Liaoning University
3:20 PM	Bias Correction and Sensitivity Analysis for Meta-Analysis of Studies with Zero-Inflated Outcomes Zhengyang Zhou, University of North Texas Health Science Center; Minge Xie, Rutgers University; Thomas Trikalinos, Brown University; Eun-Young Mun, University of North Texas Health Science Center
3:45 PM	Floor Discussion

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

218816	Wed, 7/31/2019, 6:00 PM - 9:00 PM	H-Centennial Ballroom E
ICSA Member Meeting — Other ICW
International Chinese Statistical Association
Organizer(s): GANG LI, JNJ

598 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-113
Statistical Learning with Unconventional Missing Data — Topic Contributed Papers
International Chinese Statistical Association, Section on Statistical Learning and Data Science, IMS
Organizer(s): Gen Li, Columbia University
Chair(s): Jiayi Ji, Icahn School of Medicine at Mount Sinai
8:35 AM	Generalized Integrative Principal Component Analysis for Multi-Type Data with Block-Wise Missing Structure Presentation Gen Li, Columbia University; Eric Lock, University of Minnesota; Huichen Zhu, Columbia University
8:55 AM	How Not to Estimate the Nonignorable Missingness Mechanism Jiwei Zhao, State University of New York At Buffalo
9:15 AM	Using Multivariate Mixed-Effects Selection Models for Analyzing Batch-Processed Proteomics Data with Non-Ignorable Missingness Presentation Lin Chen, University of Chicago; Jiebiao Wang, Carnegie Mellon University; Pei Wang, Icahn School of Medicine at Mount Sinai; Donald Hedeker, University of Chicago
9:35 AM	Floor Discussion

635 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-707
Monitoring Health Behaviors with Multi-Sensor Mobile Technology — Invited Papers
ENAR, Biometrics Section, International Chinese Statistical Association
Organizer(s): Vadim Zipunnikov, Johns Hopkins University
Chair(s): Jiawei Bai, Johns Hopkins University
10:35 AM	Translational Biomarkers for Quality of Sleep Dmitri Volfson, Takeda; Brian Tracey, Tufts; Derek Buhl, Takeda; Tamas Kiss, Hungarian Academy of Sciences
11:00 AM	Statistical Modeling of Cross-Systems Biomarkers Presentation Vadim Zipunnikov, Johns Hopkins University; Mike Xiao, National Institute of Mental Health; Kathleen Merikangas, National Institute of Mental Health
11:25 AM	Registration for Exponential Family Functional Data Presentation Julia Wrobel, Columbia University; Vadim Zipunnikov, Johns Hopkins University; Jennifer Schrack, Johns Hopkins University; Jeff Goldsmith, Columbia University
11:50 AM	Wearable Sensor Data Fusion for Affect Lability Detection Fengqing Zhang, Drexel University; Tinashe Tapera, Drexel University; Adrienne Juarascio, Drexel University
12:15 PM	Floor Discussion

642 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-106
Advanced Statistical Methods for Large Data Sets — Topic Contributed Papers
Social Statistics Section, International Chinese Statistical Association, Lifetime Data Science Section, Section on Statistical Learning and Data Science
Organizer(s): Xingqiu Zhao, The Hong Kong Polytechnic University
Chair(s): Jianguo Sun, University of Missouri
10:35 AM	Distributed Learning with Minimum Error Entropy Principle Xin Guo, The Hong Kong Polytechnic University; Ting Hu, Wuhan University; Qiang Wu, Middle Tennessee State University
10:55 AM	Entropy Learning for Dynamic Treatment Regimes Presentation Binyan Jiang
11:15 AM	Efficient Fused Learning for Distributed Imbalanced Data Yuanyuan Lin
11:35 AM	Penalized Interaction Estimation for Ultrahigh Dimensional Quadratic Regression Cheng Wang, Shanghai Jiao Tong University
11:55 AM	Penalized Generalized Empirical Likelihood with a Diverging Number of General Estimating Equations for Censored Data Presentation Xingqiu Zhao, The Hong Kong Polytechnic University; Niansheng Tang, Yunnan University; Xiaodong Yan, Shandong University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association