Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

Online Program Home
My Program

All Times EDT

Legend:
* = applied session ! = JSM meeting theme

Activity Details

7 !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
The Statistica Sinica Invited Session — Invited Papers
International Chinese Statistical Association, ASA Development Committee, IMS
Organizer(s): Yazhen Wang Wang, University of Wisconsin-Madison
Chair(s): Yazhen Wang Wang, University of Wisconsin-Madison
10:05 AM	Confidence Intervals for High-Dimensional Cox Models Richard Samworth, University of Cambridge
10:45 AM	Optimal Gaussian Approximation for Multiple Time Series Wei Biao Wu, University of Chicago; Sayar Karmakar, University of Florida
11:25 AM	Floor Discussion

8 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Learning for High-Dimensional and Heterogeneous Complex Data — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Journal on Statistical Analysis and Data Mining, Section on Statistical Computing
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Omid Shams Solari, UC Berkeley
10:05 AM	Heterogeneous Mediation Analysis for Causal Inference Fei Xue, University of Pennsylvania; Xiwei Tang, University of Virgina; Annie Qu, University of Illinois at Urbana-Champaign
10:25 AM	L-zero regularization in the causal mediation analysis Peter X.K. Song, University of Michigan; Wen Wang, University of Michigan
10:45 AM	Large matrix estimation for time series data Hai Shu, New York University; Bin Nan, University of California, Irvine
11:05 AM	High-dimensional factor regression for heterogeneous subpopulations Peiyao Wang, University of North Carolina at Chapel Hill; Quefeng Li, UNC Chapel Hill; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:25 AM	Correlation Tensor Decomposition and Its Application in Spatial Imaging Data Yujia Deng, University of Illinois, Urbana-Champaign; Xiwei Tang, University of Virgina; Annie Qu, University of California Irvine
11:45 AM	Floor Discussion

31 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Combination Therapy Dose-Finding in Oncology Drug Development — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science, International Chinese Statistical Association
Organizer(s): Rong Liu, BMS
Chair(s): Olga Marchenko, Bayer
10:05 AM	Comparative Review of Phase I Dose-Finding Designs for Drug Combination Trials Heng Zhou, Merck; Ruitao LIN, The University of Texas MD Anderson Cancer Center
10:25 AM	Dual-Agent Drug-Combination Designs for Finding Multiple Maximum Tolerated Dose Combinations in Oncology Phase I Trials Xin Yang, Novartis
10:45 AM	Industry Experience on Combination Therapy Dose-Finding in Oncology Drug Development Rong Liu, BMS
11:05 AM	Emerging Approaches in Combination Phase I Trials: Utilization of Historical Data and the Need to Consider Model Guided Designs and Endpoints Other Than DLTs Suman Sen, Novartis Pharmaceuticals Corp
11:25 AM	Discussant: Cindy Gao, FDA
11:45 AM	Floor Discussion

105 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Deep Learning and Statistical Modeling with Applications — Invited Papers
International Chinese Statistical Association, Section on Statistical Learning and Data Science, IMS
Organizer(s): Ji Zhu, University of Michigan
Chair(s): Ji Zhu, University of Michigan
1:05 PM	Deep Learning and Statistical Modeling with Applications Yingying Fan, USC
1:30 PM	Beyond Shallow Learning: New Results for Matrix Completion Jianqing Fan, Princeton University; Yuxin Chen, Princeton University; Cong Ma, Princeton University; Yulin Yan, Princeton University
1:55 PM	Statistical Challenges in Analyzing Two-Sided Marketplace HONGTU ZHU, DiDi
2:20 PM	From Classical Statistics to Modern Machine Learning Mikhail Belkin, Ohio State University
2:45 PM	Floor Discussion

135 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Move Non/Semiparametrics Forward in Causal Inference, Missing Data Analysis, and Data Integration — Invited Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Jiwei Zhao, State University of New York at Buffalo
Chair(s): Jiwei Zhao, State University of New York at Buffalo
10:05 AM	Combining Multiple Observational Data Sources to Estimate Causal Effects Peng Ding, University of California, Berkeley; Shu Yang, North Carolina State University
10:30 AM	Learning When-to-Treat Policies Stefan Wager, Stanford University; Xinkun Nie, Stanford University; Emma Brunskill, Stanford University
10:55 AM	A Bayesian Nonparametric Approach for Estimating the Causal Effect of a Time-Varying/Dynamic Treatment Michael Daniels, University of Florida; Kumaresh Dhara, University of Florida; Jason Roy, Rutgers University
11:20 AM	Minimax Optimal Estimation of Heterogeneous Treatment Effects Edward Kennedy, Carnegie Mellon University
11:45 AM	Floor Discussion

175	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Modeling — Contributed Papers
International Chinese Statistical Association
Chair(s): Qixuan Chen, Columbia University
	Semiparametric Maximum Likelihood Estimation of Panel Count Data with Time-Dependent Covariates Dayu Sun, University of Missouri-Columbia; Jianguo Sun, University of Missouri-Columbia
	Feature Filter for Estimating Central Mean Subspace and Its Sparse Solution Pei Wang, University of Kentucky; Xiangrong Yin, University of Kentucky
	Estimation of Change-Point for a Class of Count Time Series Models Yunwei Cui, Towson University; Rongning Wu, Baruch College, The City University of New York, New York; Qi Zheng, University of Louisville
	Analysis of Panel Count Data with Time-Dependent Coefficient and Covariate Effects Yuanyuan Guo, University of Missouri, Columbia; Jianguo Sun, University of Missouri-Columbia

249 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Making Impact for the Public Health: Innovative Methods and Challenges in Large NIH Studies — Invited Papers
ENAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Xin Tian, National Heart, Lung and Blood Institute
Chair(s): Xin Tian, National Heart, Lung and Blood Institute
1:05 PM	New Development of Statistical Machine Learning Methods with Applications to Large NHLBI Longitudinal Studies Colin O. Wu, National Heart, Lung and Blood Institute, National Institutes of Health; Xin Tian, National Heart, Lung and Blood Institute
1:30 PM	Statistical Challenges in Infectious Diseases Dean Follmann, NIAID
1:55 PM	New Developments in Analyzing Dietary Quality Data Aiyi of Liu, NICHD/NIH
2:20 PM	Methodological Challenges in Cancer Epidemiology and Genetics Paul S. Albert, National Cancer Institute
2:45 PM	Floor Discussion

264 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
New Statistical Methods for Longitudinal Data Analysis — Topic Contributed Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Anne Buu, UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON
Chair(s): Runze Li, Pennsylvania State University
1:05 PM	Modeling of Business Reopening when Facing SARS-CoV-2 Pandemic: Protection, Cost and Risk Hongyu Miao, UT Health At Houston; Chengxue Zhong, UTHealth
1:25 PM	Analysis of Longitudinal Categorical Data Using a Continuous Time Semi-Markov Chain Model Kusha Mohammadi, Univeristy of Texas- Health Science Center at Houston; Wenyaw Chan, University of Texas-Health Science Center at Houston; Valory N Pavlik, Baylor College of Medicine
1:45 PM	Multivariate Partial Linear Varying-Coefficient Model for G×E Studies with Longitudinal Traits Yuehua Cui, Michigan State University
2:05 PM	Floor Discussion

302 !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Statistical Methods for Data Integration — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, ENAR
Organizer(s): Quefeng Li, UNC Chapel Hill
Chair(s): Quefeng Li, UNC Chapel Hill
10:05 AM	Statistical Inference of Genetic Pathway Analysis Under High Dimensions Chad He, Fred Hutchinson Cancer Research Center; Yang Liu, Wright State University; Wei Sun, Fred Hutchinson Cancer Research Center; Alexander P. Reiner, Fred Hutchinson Cancer Research Center; Charles Kooperberg, Fred Hutchinson Cancer Research Center
10:25 AM	Robust Integrative Regression Analysis of High-Dimensional Heterogeneous Data Xiaoli Gao, University of North Carolina At Greensboro; Bin Luo, University of North Carolina at Greensboro
10:45 AM	Learning Predictive Models from Block-Missing Multi-Modality Data Guan Yu
11:05 AM	High-Dimensional Censored Quantile Regression Inference Qi Zheng, University of Louisville
11:25 AM	Floor Discussion

325 * !	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Analysis of Bioscience Data — Contributed Papers
International Chinese Statistical Association
Chair(s): Zihuai He, Stanford University
	Sojourn Time and Age at Onset of the Preclinical State in Lung Cancer Dongfeng Wu, University of Louisville
	Toward AI Clinics Henry Lu, National Chiao Tung University
	Nonparametric Effect Measures in Multivariate Growth Data: Applications in Optometry Ting Zeng, University of Kentucky; Solomon Harrar, University of Kentucky
	A General Method for Mediation Analysis Without Using Counterfactuals Kai Wang, University of Iowa
	Weighted Classification Model with Regularization to Improve the Reproducibility of Neuroimaging Signature Selection Presentation Xin Niu, Drexel University; Zoe Zhang, Drexel University
	Differential Abundance Analysis for Microbiome Data Incorporating Phylogeny Chao Zhou, Yale School of Public Health; Yaru Song, Shanghai Jiao Tong University; Tiantian Liu, Shanghai Jiao Tong University; Tao Wang, Shanghai Jiao Tong Univeristy; Hongyu Zhao, Yale University

364	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: International Chinese Statistical Association — Contributed Poster Presentations
International Chinese Statistical Association
1:	Robust Machine Learning Estimation of Heterogeneous Treatment Effect Using EHR Data Ruohong Li
2:	Brain-Specific Deconvolution of Bulk RNA-Seq Data with SnRNA Data Jiawei Wang, Yale University; Junchen Yang, Yale University; Hongyu Zhao, Yale University
3:	Local Signal Detection on Irregular Domain with Spatially Varying Coefficient Model Chengzhu Zhang, Oregon State University; Lan Xue, Oregon State University

382 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Biomedical Data Analysis in Genetics and Genomics — Invited Papers
ENAR, International Chinese Statistical Association
Organizer(s): Ruzong Fan, Georgetown University Medical Center (GUMC)
Chair(s): Chi-yang Chiu, University of Tennessee, Health Science Center
1:05 PM	Mixed Models for Gene-Based Association Analysis of Complex Traits Ruzong Fan, Georgetown University Medical Center (GUMC); Yingda Jiang, University of Pittsburgh; Daniel E. Weeks, Graduate School of Public Health, University of Pittsburgh; Chi-yang Chiu, University of Tennessee, Health Science Center; Ana I. Vazquez, Michigan State University; Ao Yuan, Georgetown University Medical Center; Alexander F. Wilson, NIH; Joan E. Bailey-Wilson, NIH; Momaio Xiong, University of Texas - Houston; Richard J. Cook, University of Waterloo; Lajmi Lakhal Chaieb, University of Laval; Christopher I. Amos, Baylor College of Medicine; Qi Yan, University of Pittsburgh; Wei Chen, University of Pittsburgh; Michael B. Gorin, UCLA; Yvette Conley, University of Pittsburgh
1:30 PM	Exploiting Family History to Elucidate the Genetic Architecture of Complex Diseases Yanbing Wang, Boston University School of Public Health; Han Chen, The University of Texas Health Science Center at Houston; Gina Peloso, Boston University; Anita L DeStefano, Boston University School of Public Health; Josee Dupuis, Boston University School of Public Health
1:55 PM	A Powerful Fine-Mapping Method for Transcriptome-Wide Association Studies Chong Wu, Florida State University; Wei Pan, University of Minnesota
2:20 PM	Variant-Set Retrospective Association Tests for Longitudinal Phenotypes Weimiao Wu, Yale University; Zuoheng Wang, Yale University
2:45 PM	Floor Discussion

386 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances of Causal Inference in Observational Studies — Invited Papers
WNAR, International Chinese Statistical Association, Biometrics Section
Organizer(s): Jingshen Wang, UC Berkeley
Chair(s): Mark Van der Laan, University of California, Berkeley
1:05 PM	Local Regression Distribution Estimators Presentation Xinwei Ma, University of California San Diego; Matias Cattaneo, Princeton University; Michael Jansson, University of California Berkeley
1:35 PM	Carving for Treatment Effect Estimation: Via Efficient Model Aggregation Snigdha Panigrahi, University of Michigan; Jingshen Wang, UC Berkeley; Xuming He, University of Michigan; Gongjun Xu, University of Michigan
2:05 PM	Selecting Subpopulations for Causal Inference in Regression-Discontinuity Studies Fabrizia Mealli, University of Florence
2:35 PM	Floor Discussion

392 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Big Tensor Data Analysis — Invited Papers
Section on Statistical Learning and Data Science, International Chinese Statistical Association, Section on Nonparametric Statistics, Section on Statistical Computing
Organizer(s): Anru Zhang, University of Wisconsin-Madison
Chair(s): Anru Zhang, University of Wisconsin-Madison
1:05 PM	Tensor Response Regression in the Presence of Heavy Tails Xin Zhang, Florida State University
1:30 PM	Tensor Models for Large, Complex and High-Dimensional Data Shuheng Zhou, University of California, Riverside
1:55 PM	Co-Clustering Tensors Using Fusion Penalties and CP-Decompositions Eric Chi, North Carolina State University
2:20 PM	Duality of Graphical Models and Tensor Networks Elina Robeva, University of British Columbia
2:45 PM	Floor Discussion

394 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Challenges and New Directions in Precision Medicine for Large-Scale and Complex Data — Invited Papers
Biometrics Section, Section on Statistical Learning and Data Science, International Chinese Statistical Association, Biopharmaceutical Section
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Min Qian, Columbia University
1:05 PM	Building Cancer Prognostic Models Generated via Automatic Data-Driven Sequential Processes Hyokyoung (Grace) Hong, Michigan State University
1:30 PM	On Restricted Optimal Treatment Regime Estimation for Competing Risks Data Jie Zhou, University of South Carolina; Jiajia Zhang, University of South Carolina; Wenbin Lu , North Carolina State University; Xiaoming Li, University of South Carolina
1:55 PM	Depth Importance in Precision Medicine (DIPM): A Tree- and Forest-Based Method for Right-Censored Survival Outcomes Victoria Chen, Yale University; Heping Zhang, Yale University
2:20 PM	Discussant: Yichuan Zhao, Georgia State University
2:40 PM	Floor Discussion

402 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Methods for New Challenges in Lifetime/Complex Data — Topic Contributed Papers
Lifetime Data Science Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Tony Sit, The Chinese University of Hong Kong; Kin Yau Alex Wong, The Polytechnic University of Hong Kong
Chair(s): Qingning Zhou, University of North Carolina at Charlotte
1:05 PM	Simultaneous Monitoring for Regression Coefficients and Baseline Hazard Profile in Cox Modeling of Time-to-Event Data Jun Yan, University of Connecticut; Yishu Xue, University of Connecticut; Elizabeth Schifano, University of Connecticut
1:25 PM	Score Tests with Incomplete Covariates and High-Dimensional Auxiliary Variables Kin Yau Alex Wong, The Polytechnic University of Hong Kong
1:45 PM	Improving Efficiency of Analysis of Generalized Semiparametric Regression Models for Cumulative Incidence Functions with Missing Covariates Yanqing Sun, University of North Carolina At Charlotte; Fei Heng, University of North Florida; Unkyung Lee, Texas A&M University; Peter B Gilbert, University of Washington and Fred Hutchinson Cancer Research Center
2:05 PM	Locally Homogeneous Censored Quantile Regression Model with Time-Dependent Covariates Tony Sit, The Chinese University of Hong Kong
2:25 PM	Estimation of time-varying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic Yi Li, University of Michigan
2:45 PM	Floor Discussion

403 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Sufficient Dimension Reduction and Variable Selection for High-Dimensional Inference — Topic Contributed Papers
Section on Nonparametric Statistics, Section on Statistical Learning and Data Science, International Chinese Statistical Association
Organizer(s): Wenbo Wu, University of Texas at San Antonio
Chair(s): Wenbo Wu, University of Texas at San Antonio
1:05 PM	Principal Asymmetric Least Squares for Sufficient Dimension Reduction Yuexiao Dong, Temple University; Abdul-Nasah Soale, Temple University
1:25 PM	On Sufficient Dimension Reduction for Functional Data via Weak Conditional Moments Jun Song, UNC Charlotte; Bing Li, Pennsylvania State University
1:45 PM	Sufficient Variable Selection via Expected Conditional Hilbert-Schmidt Independence Criterion Chenlu Ke, Virginia Commonwealth University
2:05 PM	On Sufficient Dimension Reduction with Mixture Normally Distributed Predictors Wei Luo, Zhejiang University
2:25 PM	Floor Discussion

427 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Various Challenges and Strategies in Analysis of Real-Life Data — Invited Papers
SSC (Statistical Society of Canada), Lifetime Data Science Section, International Chinese Statistical Association
Organizer(s): Joan X. Hu, Simon Fraser University
Chair(s): Wendy Lou, University of Toronto
10:05 AM	Informative Visit Patterns in Longitudinal Health Care Claims Data Robert Platt, McGill University
10:30 AM	Support Vector Machine with Graphical Network Structures in Features Wenqing He, University of Western Ontario; Grace Yi, Unievrsity of Western Ontario; Li-Pang Chen, University Of Western Ontario
10:55 AM	Statistical Analysis of Duration Data with Missing Time Origins Joan X. Hu, Simon Fraser University; Yi Xiong, Simon Fraser University; John Braun, University of British Columbia
11:20 AM	Discussant: Rhonda J. Rosychuk, University of Alberta
11:45 AM	Floor Discussion

520 !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
New Quantile-Modeling Methods for Large-Scale Heterogeneous Data — Invited Papers
Section on Nonparametric Statistics, International Chinese Statistical Association, IMS
Organizer(s): Lan Wang, University of Minnesota
Chair(s): Qi Zheng, University of Louisville
1:05 PM	Quantile Regression Approach to Conditional Mode Estimation Kengo Kato, Cornell University; Hirofumi Ota, Rutgers University; Satoshi Hara, Osaka University
1:30 PM	Uniform Inference for Heterogeneous Quantile Treatment Effects in High Dimensions Alexander Giessing, Princeton University; Jingshen Wang, UC Berkeley
1:55 PM	Lean-Assumption Quantile Regression for High-Dimensional Data Lan Wang, University of Minnesota
2:20 PM	Discussant: Ying Wei, Columbia University
2:40 PM	Floor Discussion

537	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Innovative Statistical Methods for Complex -Omics Data — Topic Contributed Papers
International Chinese Statistical Association, Section on Statistics in Genomics and Genetics
Organizer(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
Chair(s): Xiaoyu Song, Icahn School of Medicine at Mount Sinai
1:05 PM	Imaging Genetics Analysis Under Brain Connectivity with Application on Human Connectome Project Yize Zhao, Yale University; Changgee Chang, University of Pennsylvania; Jingwen Zhang, Yale University; Zhengwu Zhang, University of Rochester
1:25 PM	Primo: Integration of Multiple GWAS and Omics QTL Summary Statistics for Elucidation of Molecular Mechanisms of Trait-Associated SNPs and Detection of Pleiotropy in Complex Traits Fan Yang, University of Colorado Anschutz Medical Campus; Kevin Gleason, University of Chicago; Brandon Pierce, University of Chicago; Xin He, University of Chicago; Lin Chen, University of Chicago
1:45 PM	Joint Modeling of EQTLs and Parent-of-Origin Effects Using an Orthogonal Framework with RNA-Seq Data Feifei Xiao, University of South Carolina; Shirong Deng, School of Mathematics and Statistics, Wuhan University; James Hardin, University of South Carolina; Christopher I. Amos, Baylor College of Medicine
2:05 PM	Detection of Cell-Type-Specific Differentially Methylated Regions with Aggregate-Level DNA Methylation Data Yingying Wei, The Chinese University of Hong Kong
2:25 PM	Knockoff Scan Statistic Framework for Controlled Whole-Genome Sequencing Data Analysis Zihuai He, Stanford University; Iuliana Ionita-laza, Columbia University; Linxi Liu, Columbia University
2:45 PM	Floor Discussion

560	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
New Development of Flexible Methods for Network Analysis — Invited Papers
IMS, Journal on Statistical Analysis and Data Mining, International Chinese Statistical Association
Organizer(s): Rui Song, NC State University
Chair(s): Chengchun Shi, The London School of Economics
3:05 PM	Testing for Balance in Social Networks Harrison Zhou, Yale University; Derek Feng, Yale University
3:30 PM	Statistics for Statisticians Jiashun Jin, Carnegie Mellon University
3:55 PM	Likelihood Inference for a Large Causal Network Chunlin Li, University of Minnesota; Xiaotong Shen, University of Minnesota; Wei Pan, University of Minnesota
4:20 PM	Why Aren’t Network Statistics Accompanied by Uncertainty Statements? Eric Kolaczyk, Boston University
4:45 PM	Floor Discussion

561 *	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Fine-Scale Inference from Aggregate-Level Genomic Data — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, International Chinese Statistical Association
Organizer(s): Yingying Wei, The Chinese University of Hong Kong
Chair(s): Yingying Wei, The Chinese University of Hong Kong
3:05 PM	CARseq: Cell Type Aware Analysis of RNA-Seq Data Wei Sun, Fred Hutchinson Cancer Research Center
3:30 PM	Deciphering Cellular Heterogeneity by Integrative Single-Cell and Bulk RNA-Seq Data Analysis Mingyao Li, University of Pennsylvania; Yafei Lyu, University of Pennsylvania; Jiaxin Fan, University of Pennsylvania; Rui Xiao, University of Pennsylvania
3:55 PM	Testing Cell-Type-Specific Mediation Effects in Genome-Wide Epigenetic Studies Zhonghua Liu , University of Hong Kong; Xiangyu Luo, Renmin University of China; Joel Schwartz, Harvard University; Andrea Baccarelli, Columbia University
4:20 PM	Dissecting High-Throughput (Epi)Genomics Signals from Heterogeneous Samples Hao Wu, Emory University; Ziyi Li, Emory University
10:15 AM	Floor Discussion

570 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Addressing the Unique Analytic Challenges of Drug Development in Rare Diseases with the Use of Innovative Designs and Real World Evidence in Clinical Trials — Topic Contributed Papers
ENAR, Health Policy Statistics Section, International Chinese Statistical Association
Organizer(s): Junjing Lin , AbbVie
Chair(s): Margaret Gamalo-Siebers, Eli Lilly & Co
3:05 PM	Case Studies of Clinical Trials in Rare Diseases with Innovative Designs Utilizing Historical Data Bingzhi Zhang, Sanofi
3:25 PM	On Randomized Delayed-Start Design with Integrated Analysis of Efficacy for Drug Development in Rare Diseases Qing Liu, Quantitative and Regulatory Medical Science, LLC; Fred Holdbrook, Amicus Therapeutics, Inc.
3:45 PM	Statistical Issues in Trials for Rare Diseases Using Innovative Design and Real-World Evidence – Regulatory Experiences Aloka Chakravarty, Office of Biostatistics in CDER, FDA
4:05 PM	Clinical Data Augmentation Strategy via Propensity-Score-Based Bayesian Analysis Junjing Lin, Takeda; Margaret Gamalo-Siebers, Eli Lilly & Co; Ram Tiwari, FDA
4:25 PM	Use of historical controls to assess emerging interventions in cystic fibrosis: a comparison of methods and a look forward Presentation Amalia Magaret, University of Washington
4:45 PM	Floor Discussion

573 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Time Series:Testing and Forecasting — Topic Contributed Papers
Business and Economic Statistics Section, Section on Risk Analysis, International Chinese Statistical Association
Organizer(s): Mariana Saenz-Ayala, Georgia Southern University
Chair(s): Barbara Bailey, San Diego State University
3:05 PM	Testing for Differences in Path Forecast Accuracy Presentation Andrew Martinez, U.S. Department of the Treasury
3:25 PM	Evaluating Government Budget Forecasts Neil Ericsson, Federal Reserve Board; Andrew Martinez, U.S. Department of the Treasury
3:45 PM	Floor Discussion

582 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Integrating Information from Different Data Sources: Some New Developments — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, ENAR
Organizer(s): Peisong Han, University of Michigan
Chair(s): Yang Chen, University of Michigan
3:05 PM	Analysis of Randomized Clinical Trials with Integrated Information from Real-World Evidence Studies Shu Yang, North Carolina State University; Lin Dong, Wells fargo; Xiaofei Wang, Duke University; Donglin Zeng, University of North Carolina at Chapel Hill; Jianwen Cai, University of North Carolina at Chapel Hill
3:25 PM	Use of Administrative Records to Improve Survey Inference While Protecting Confidentiality Qixuan Chen, Columbia University; Sharifa Williams, Nathan Kline Institute for Psychiatric Research; Yutao Liu, Columbia University
3:45 PM	Assembling Longitudinal Measurements for Life Course Analysis of Marker Trajectories Yifei Sun, Mailman School of Public Health, Columbia University
4:05 PM	Variable Selection for Proportional Hazards Models with High-Dimensional Covariates Subject to Measurement Error Baojiang Chen; Ao Yuan, Georgetown University Medical Center; Grace Yi, Unievrsity of Western Ontario
4:25 PM	Integrating Information from Existing Risk Prediction Models with No Model Details Peisong Han, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
4:45 PM	Floor Discussion

586	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Theoretical Investigations on Discrete Structure Recovery — Topic Contributed Papers
IMS, International Chinese Statistical Association, International Statistical Institute
Organizer(s): Anderson Ye Zhang, University of Pennsylvania
Chair(s): Zijian Guo, Rutgers The State University of NJ
3:05 PM	Iterative Algorithm for Discrete Structure Recovery Anderson Ye Zhang, University of Pennsylvania; Chao Gao, University of Chicago
3:25 PM	Fast and Adaptive Iterative Hard Thresholding in High-Dimensional Linear Regression: A Non-Convex Algorithmic Regularization Approach Presentation Mohamed Ndaoud, USC
3:45 PM	Edgeworth Approximation to Network U-Statistics Yuan Zhang, Ohio State University - Columbus, OH
4:05 PM	Optimal Estimation in High-Dimensional Gaussian Mixtures Natalie Doss, Yale University
4:25 PM	SDP Relaxation for Clustering Under Gaussian Mixture Model: Hidden Integrality, Statistical Optimality and Semirandom Robustness Yingjie Fei, Cornell University
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association