All Times EDT
Legend:
Activity Details
5
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Recent Development on Statistical Methods for Precision Medicine — Invited Papers
ENAR , Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section
Organizer(s): Guanhua Chen, University of Wisconsin-Madison
Chair(s): Yanyao Yi, Eli Lilly and Company
10:05 AM
A Two-Part Model for Individualized Treatment Rule Estimation with Semi-Continuous Outcomes
Guanhua Chen, University of Wisconsin-Madison ; Maureen Smith, University of Wisconsin-Madison; Jared Huling, The Ohio State University
10:30 AM
Bayesian Nonparametric Survival Regression for Optimizing Precision Dosing of Intravenous Busulfan in Allogeneic Stem Cell Transplantation
Presentation
Peter F. Thall, M.D. Anderson Cancer Center ; Yanxun Xu, Johns Hopkins University; William Hua, Johns Hopkins University; Borje Andersson, M.D. Anderson Cancer Center
10:55 AM
Targeted Learning of Causal Impact of Optimal Individualized Treatment Rules Based on Novel Sequentially Adaptive Designs
Ivana Malenica, University of California, Berkeley
11:20 AM
Stochastic Tree Search for Estimating Personalized Treatment Decision Rules
Lu Wang, University of Michigan ; Yilun Sun, University of Michigan Medical School
11:45 AM
Floor Discussion
30 * !
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Quality in Numbers: NIH Experience in Data Repositories — Topic Contributed Papers
Caucus for Women in Statistics , Korean International Statistical Society, ENAR
Organizer(s): Dong-Yun Kim, National Heart Lung and Blood Institute/NIH
Chair(s): Dong-Yun Kim, National Heart Lung and Blood Institute/NIH
10:05 AM
NIDDK Data and Sample Repositories
Presentation
Elizabeth C Wright, NIDDK/NIH ; Tolulope M Abidogun, National Institute of Diabetes Digestive and Kidney Diseases/NIH; Sharon M Lawlor, National Institute of Diabetes Digestive and Kidney Diseases/NIH; Rebecca M Rodriguez, National Institute of Diabetes Digestive and Kidney Diseases/NIH
10:25 AM
PubChem: A Public Chemical Information Resource for Big Data Chemistry
Presentation
Sunghwan Kim, National Institutes of Health
10:45 AM
Genomic Data for Everyone
HeeJong Sung, NIH
11:05 AM
Discussant: Sun Jung Kang, National Institutes of Health
11:25 AM
Floor Discussion
32 *
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Computational and Statistical Methods for Single-Cell Transcriptomics and Epigenomics Analyses — Topic Contributed Papers
Section on Statistics in Genomics and Genetics , Biometrics Section, ENAR
Organizer(s): Qunhua Li, Penn State University
Chair(s): Claire Jin, State College Area High School
10:05 AM
Gene Set Testing Methods for Single Cell RNAseq (ScRNAseq) Data
Di Wu, University of North Carolina at Chapel Hill ; Hunyong Cho; Eric Van Buren; Chuwen Liu, University of North Carolina, Chapel Hill; Yun Li, University of North Carolina at Chapel Hill
10:25 AM
Identifying Topologically Associating Domain Structures from Single-Cell Hi-C Data
Qunhua Li, Penn State University ; Qiuhai Zeng, Wuhan University; Xi He, Pennsylvania State University; Yu Zhang, Two sigmas; Tracey Zheng, Pennsylvania State University
10:45 AM
Cumulus: A Cloud-Based Data Analysis Framework for Large-Scale Single-Cell and Single-Nucleus RNA-Seq
Bo Li, Massachusetts General Hospital
11:05 AM
Computational Methods for Single Cell Chromatin Organization Analysis
Presentation
Jie Liu
11:25 AM
Floor Discussion
66
Mon, 8/3/2020,
10:00 AM -
2:00 PM
Virtual
Novel Bayesian Methodology with Health Applications — Contributed Papers
ENAR
Chair(s): Debamita Kundu, National Cancer Institute
Variable Screening in Bayesian Longitudinal Mixture Models
Md Nazir Uddin, University of Louisville ; Jeremy Thomas Gaskins, University of Louisville; Kiranmoy Das, Indian Statistical Institute
EHR Phenotyping of Depressed Patients: A Hierarchical Bayesian Latent Variable Modeling Approach
Wenna Xi, Weill Medical College, Cornell University ; Samprit Banerjee, Weill Medical College, Cornell University
A Longitudinal Bayesian Mixed Effects Model with Hurdle Conway-Maxwell-Poisson Distribution
Jeremy Thomas Gaskins, University of Louisville ; Tong Kang, Department of Biostatistics, University of Florida; Somnath Datta, University of Florida; Steven Levy, Department of Preventive and Community Dentistry, University of Iowa
Conditional Adaptive Bayesian Spectral Analysis of Replicated Multivariate Time Series
Scott Alan Bruce, George Mason University ; Zeda Li, Baruch College; Clinton Wutzke, George Mason University; Yang Long, Baruch College
A Multilevel Mediation Model for Categorical Mediator and Outcome: Assessing the Impact of the HEART Care Pathway on Physician Inpatient Admitting Rates and Patient Admission Risk
Ernest Shen, Kaiser Permanente ; Aileen Baecker, Kaiser Permanente; Adam Sharp, Kaiser Permanente; Yi-Lin Wu, Kaiser Permanente; Benjamin Sun, University of Pennsylvania
Predicting the Relapse of Psychotic Depression: A Bayesian Joint Modeling Approach
Yiyuan Wu, Weill Cornell Medical College ; Wenna Xi, Weill Medical College, Cornell University; Samprit Banerjee, Weill Medical College, Cornell University
A Bayesian Nonparametric Approach for Estimating Causal Effects for Longitudinal Data
Kumaresh Dhara, University of Florida ; Michael Daniels, University of Florida
103 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Semiparametric Inference with High-Dimensional and Complex Data — Invited Papers
ENAR , IMS, Section on Nonparametric Statistics
Organizer(s): Zhiqiang Tan, Rutgers University
Chair(s): TBD TBD, TBD
1:05 PM
A Unifying Approach for Doubly-Robust L1-Regularized Estimation of Causal Contrasts
Ezequiel Smucler, Universidad Torcuato Di Tella ; James Robins, Harvard T.H Chan School of Public Health; Andrea Rotnitzky, Universidad Torcuato Di Tella
1:30 PM
Convex Loss Versus Semiparametric Likelihood Machine Learning Estimates
Michael R. Kosorok, University of North Carolina at Chapel Hill
1:55 PM
Limit Distribution Theory for Multiple Isotonic Regression
Cun-Hui Zhang, Rutgers University
2:20 PM
Discussant: Zhiqiang Tan, Rutgers University
2:45 PM
Floor Discussion
114 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
ICH E9 R1 Addendum: Can We Deliver on the Promise? — Invited Panel
Council of Chapters , Biopharmaceutical Section, ENAR
Organizer(s): Pilar Lim, Janssen Research & Development, LLC; Akiko Okamoto, Janssen Research & Development, LLC
Chair(s): Pilar Lim, Janssen Research & Development, LLC
1:05 PM
ICH E9 R1 Addendum: Can We Deliver on the Promise?
Presentation
Panelists:
Craig Mallinckrodt, Biogen Steve Ruberg, Analytix Thinking, LLC Elena Polverejan, Janssen Pharmaceuticals Scott Emerson, University of Washington H. M. James Hung, CDER at FDA
2:45 PM
Floor Discussion
123 !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Unraveling Tissue Heterogeneity for Analyzing Omics Data in Cancer Research — Topic Contributed Papers
WNAR , ENAR, Biometrics Section
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Yuqing Zhang, Gilead Sciences Inc.
1:05 PM
Outcome-Guided Molecular Disease Subtyping for Precision Medicine in Omics Data
George Tseng, University of Pittsburgh
1:25 PM
Co-Expression Analysis of Complex Tissues
Matthew Nicholson McCall, University of Rochester Medical Center ; Yun Zhang, J. Craig Venter Institute (JCVI)
1:45 PM
Clustering of Single Cells Based on Expressions of Subsets of Genes
Sha Cao, Indiana University School of Medicine ; Changlin Wan, Purdue University; Chi Zhang, Indiana University School of Medicine; Anru Zhang, University of Wisconsin-Madison
2:05 PM
Adjusting for Handling Effects in Transcriptomics Data for Tumor Subtyping
Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:25 PM
Multi-Omic Integration to Reveal Functional Consequences of DNA Alterations
Xiaoyu Song, Icahn School of Medicine at Mount Sinai ; Jiayi Ji, Ichan School of Medicine at Mount Sinai; Lin Chen, University of Chicago; Pei Wang, Icahn Medical School at Mount Sinai
2:45 PM
Floor Discussion
125 *
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Novel Approaches for Estimating and Evaluating Treatment Rules with Applications in Mental Health Research — Topic Contributed Papers
Mental Health Statistics Section , Biometrics Section, ENAR
Organizer(s): Adam Ciarleglio, George Washington University
Chair(s): Todd Ogden, Columbia University
1:05 PM
A Tree-Based Method for Discovering Response Trajectory Subgroups Based on Scalar and Functional Variables
Adam Ciarleglio, George Washington University
1:25 PM
A single index model for longitudinal outcomes to optimize individual treatment decision rules
Presentation
Lanqiu Yao, New York University School of Medicine ; Thaddeus Tarpey, NYU School of Medicine
1:45 PM
Sufficient Dimension Reduction for Interactions and Its Application to Optimizing Individualized Dose Rules
Presentation
Hyung Park, New York University ; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, NYU School of Medicine; R. Todd Ogden, Columbia University
2:05 PM
Confidence in Optimal Personalized Treatment Decisions: A Strategy for Sequential Patient Assessment
Presentation
Nina Orwitz, NYU School of Medicine ; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, NYU School of Medicine
2:25 PM
Conditional Gaussian Graphical Model for Estimating Personalized Disease Symptom Networks
Shanghong Xie, Columbia University ; Erin Mcdonnell, Columbia University; Yuanjia Wang, Columbia University
2:45 PM
Floor Discussion
139 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Challenges and Breakthroughs in Biomedical High-Dimensional Data Analysis in the Big Data Era — Invited Papers
Caucus for Women in Statistics , Committee on Women in Statistics, ENAR
Organizer(s): Zhigang Li, University of Florida
Chair(s): Zhigang Li, University of Florida
10:05 AM
Smoothing Kernels for Categorical and Mixed-Scale Data in Density Estimation
Marianthi Markatou, University at Buffalo
10:30 AM
Learning Survival from EMR/EHR Data to Estimate Treatment Effects Using High-Dimensional Claims Codes
Presentation
Ronghui Xu, University of California, San Diego ; Jelena Bradic, UC San Diego; Jue Hou, Harvard T.H. Chan School of Public Health; Andrew Ying, University of California San Diego
10:55 AM
A Low-Rank Multivariate General Linear Model for Multi-Subject fMRI Data
Tingting Zhang, University of Virginia
11:20 AM
Discussant: Babette Brumback, University of Florida
11:40 AM
Floor Discussion
148 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Master Protocols in Oncology Drug Development — Invited Papers
ENAR , Biometrics Section, Biopharmaceutical Section
Organizer(s): Xiaoyun (Nicole) Li, Merck
Chair(s): Xiaoyun (Nicole) Li, Merck
10:05 AM
Master Protocols in Oncology: A Regulatory Perspective
Min (Annie) Lin, FDA
10:30 AM
ASA Oncology Working Group Sub-Team Report on Oncology Master Protocols
Chengxing (Cindy) Lu, Biogen Inc. ; Xiaoyun (Nicole) Li, Merck
10:55 AM
Bayesian Platform Trials for Drug Registration
Don Berry, Berry Consultants
11:20 AM
Discussant: Erik Bloomquist, FDA
11:45 AM
Floor Discussion
152 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Mentoring for Individual and Public Impact: Considerations for Mentors and Mentees at All Career Stages — Invited Panel
ENAR , Committee on Career Development, Caucus for Women in Statistics
Organizer(s): Naomi Brownstein, Moffitt Cancer Center
Chair(s): Emily Butler, GSK
10:05 AM
Mentoring for Individual and Public Impact: Considerations for Mentors and Mentees at All Career Stages
Panelists:
Leslie McClure, Drexel University Brian Millen, Eli Lilly and Company Dionne L Price, Food and Drug Administration Summer Han, Stanford University
11:40 AM
Floor Discussion
154 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Integrating Real World Data with Clinical Trials: Opportunities and Challenges — Topic Contributed Papers
Caucus for Women in Statistics , ENAR, Biopharmaceutical Section
Organizer(s): Yimei Li, University of Pennsylvania
Chair(s): Yimei Li, University of Pennsylvania
10:05 AM
An Integrated Analysis of Randomized Clinical Trials and Real World Evidence Studies: Theory and Application
Xiaofei Wang, Duke University ; Shu Yang, North Carolina State University
10:25 AM
Synthesizing External Aggregated Information in the Presence of Population Heterogeneity: A Penalized Empirical Likelihood Approach
Mi-Ok Kim, UCSF
10:45 AM
Multiple Imputation Strategies for Handling Missing Data When Transporting Randomized Clinical Trial Findings Using Propensity Score-Based Methodologies
Albee Ling, Stanford University ; Maria Montez-Rath, Stanford University; Kris Kapphahn, Stanford University; Maya Mathur, Stanford University; Manisha Desai, Stanford University
11:05 AM
Evaluating the Use of Real-World Data as a Source for Full or Hybrid Control Arms for Clinical Trials
Douglas Faries, Lilly Research Laboratories ; Zhanglin Cui, Eli Lilly and Company
11:25 AM
COMET: An Active Surveillance Trial in Low Risk DCIS, Challenges and Integration with National Cancer Database
Terry Hyslop, Biostat and Bioinformatics
11:45 AM
Floor Discussion
155 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Recent Developments in Statistical Methods for Data with Informative Cluster Size — Topic Contributed Papers
ENAR , Biometrics Section, Mu Sigma Rho, Lifetime Data Science Section
Organizer(s): Aya Mitani, Harvard T. H. Chan School of Public Health
Chair(s): Kristin Baltrusaitis, Harvard T. H. Chan School of Public Health
10:05 AM
Marginal Analysis of Multiple Outcomes with Informative Cluster Size
Aya Mitani, Harvard T. H. Chan School of Public Health ; Elizabeth Kaye, Boston University Henry M. Goldman School of Dental Medicine; Kerrie P Nelson, Boston University
10:25 AM
Marginal Inference Under Informative Subgroup Size Induced by a Subject Level Covariate
Somnath Datta, University of Florida
10:45 AM
On the Interplay Between Exposure Misclassification and Informative Cluster Size
Glen McGee, Harvard University ; Marianthi-Anna A Kioumourtzoglou, Columbia University, Dept of Environmental Health Sciences; Marc Weisskopf, Harvard University; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health; Brent Coull, Harvard University
11:05 AM
A Joint Modeling of Longitudinal Data with Informative Cluster Size Adjusted for Zero-Inflation and Terminal Event
Ming Wang ; Biyi Shen, Pennsylvania State University; Chixiang Chen, Pennsylvania State University; Vern M. Chinchilli, Pennsylvania State University; Nasr Ghahramani, Pennsylvania State University; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Somnath Datta, University of Florida
11:25 AM
Accounting for Informative Observation Process in Transition Models of Binary Longitudinal Data: A Joint Model Approach
Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:45 AM
Floor Discussion
160 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Novel Perspectives on the Estimation of Longitudinal Effects — Topic Contributed Papers
SSC (Statistical Society of Canada) , ENAR, Biometrics Section
Organizer(s): Mireille Schnitzer, Université de Montréal
Chair(s): Mireille Schnitzer, Université de Montréal
10:05 AM
Dealing with Treatment-Confounder Feedback and Sparse Follow-Up in Longitudinal Studies: Application of a Marginal Structural Model in a Multiple Sclerosis Cohort
Mohammad Ehsanul Karim, University of British Columbia ; Helen Tremlett, University of British Columbia; Feng Zhu, University of British Columbia; John Petkau, University of British Columbia; Elaine Kingwell, University of British Columbia
10:25 AM
A Test for the Correct Specification of Marginal Structural Models
Presentation
Denis Talbot, Universite Laval ; Alioune Sall, Universite Laval; Karine Aube, Universite Laval; Xavier Trudel, Universite Laval; Chantal Brisson, Universite Laval
10:45 AM
Longitudinal Data from Electronic Health Records: Handling Irregular and Informative Observation
Eleanor Pullenayegum, Hospital for Sick Children
11:05 AM
Causal Effects Using Longitudinal Modified Treatment Policies
Iván Díaz, Weill Cornell Medicine
11:25 AM
Mediation Analysis When Outcome and Mediator Are Semi-Competing Events with Application in Health Disparities Research
Linda Valeri, Columbia
11:45 PM
Floor Discussion
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
251 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Statistical Advances in Microbiome Research from Theory to Application — Invited Papers
Section on Statistics in Genomics and Genetics , Canadian Statistical Sciences Institute, ENAR
Organizer(s): Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health
Chair(s): Xiang Zhan, Pennsylvania State University
1:05 PM
Optimal Estimation of Wasserstein Distance on a Tree with an Application to Microbiome Studies
Shulei Wang, University of Pennsylvania ; Tony Cai, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
1:25 PM
A Powerful Microbial Group Association Test Based on the Higher Criticism Analysis
Ni Zhao, Johns Hopkins University, Bloomberg School of Public Health ; Hyunwook Koh, Johns Hopkins University
1:45 PM
Power of Microbiome Beta-Diversity Analyses Based on Standard Reference Samples
Mitchell H. Gail, National Cancer Institute ; Yunhu Wan, Leidos Corporation
2:05 PM
Models for Microbiome Epidemiology
Presentation
Curtis Huttenhower, Harvard University
2:25 PM
Discussant: Hongzhe Li, University of Pennsylvania
2:45 PM
Floor Discussion
262 *
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
The FDA Complex Innovative Trial Design Pilot Program: Learning from Case Examples and Simulations for the Public Good — Topic Contributed Papers
Biopharmaceutical Section , ENAR, Section on Bayesian Statistical Science
Organizer(s): Dionne L Price, Food and Drug Administration
Chair(s): Dionne L Price, Food and Drug Administration
1:05 PM
An Overview of Innovative Designs and Statistical Considerations: Lessons Learned
Laura Lee Johnson, FDA
1:25 PM
A Bayesian Adaptive Trial in Duchenne Muscular Dystrophy
Stephen Lake, WAVE Life Sciences ; Melanie Quintana, Berry Consultants; Scott Berry, Berry Consultants; Jennifer Panagoulias, Wave Life Sciences; Michael A. Panzara, Wave Life Sciences
1:45 PM
The Design, Challenges, and Benefits of Evaluating Multiple Assets and Disease Types in a Master Protocol
JonDavid Sparks, Eli Lilly and Company ; Saptarshi Chatterjee, Eli Lilly and Co; Karen L Price, Eli Lilly and Company
2:05 PM
Floor Discussion
263 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Addressing Incomplete Data in Public Health Studies: New Frontiers for Network-Based Studies and Meta-Analyses — Topic Contributed Papers
ENAR , American Public Health Association, National Institute on Drug Abuse-NIH
Organizer(s): Ashley Buchanan, University of Rhode Island
Chair(s): Natallia Katenka, University of Rhode Island
1:05 PM
Bayesian Modeling and Inference for Item Response Model with Nonignorable Missing Data
Jing Wu, University of Rhode Island ; Ming-Hui Chen, UNIVERSITY OF CONNECTICUT; Zhihua Ma, Shenzhen University; Lijiang Geng, University of Connecticut
1:25 PM
Accounting for Small-Study Effects Using a Bivariate Trim and Fill Meta-Analysis Procedure
Chongliang Luo, University of Pennsylvania ; Yong Chen, University of Pennsylvania
1:45 PM
Evaluating the Impact of Missing Data When Assessing Disseminated Effects in Network-Based Studies
TingFang Lee, University of Rhode Island ; M. Elizabeth Halloran, Fred Hutchinson Cancer Research Center; Samuel Friedman, New York University; Georgios Nikolopoulos, University of Cyprus
2:05 PM
Estimation in the Semiparametric Accelerated Failure Time Model with Missing Covariates: Improving Efficiency Through Augmentation
Jon Steingrimsson, Brown University ; Robert L Strawderman, University of Rochester
2:25 PM
Truncation by Death and the Survival-Adjusted Median: From Missing Data to Useful Summary Measures
Presentation
Judith Lok, Boston University Department of Mathematics & Statistics ; Qingyan Xiang, Boston University
2:45 PM
Floor Discussion
273 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Show Me the Data: Making Statistics and Data Science More Diverse and Inclusive in 2020 — Topic Contributed Papers
Committee on Women in Statistics , ENAR, Caucus for Women in Statistics
Organizer(s): Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
Chair(s): Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health
1:05 PM
Cocreating and Recreating an Inclusive Statistical and Data Sciences Program at Smith College
Presentation
Randi Garcia, Smith College ; Fatima Keita, Smith College
1:25 PM
Promoting the Next Wave of R/Bioconductor Developers in Latin America Starting in Mexico
Presentation
Leonardo Collado-Torres, Lieber Institute for Brain Development
1:45 PM
R-Ladies Baltimore: Successes and Challenges in the First Two Years
Margaret Taub, Johns Hopkins
2:05 PM
Discussant: Casey Greene, University of Pennsylvania
2:25 PM
Floor Discussion
285 * !
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Statistical Inference for Probabilistic Graphical Models with Applications — Invited Papers
ENAR , Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Mladen Kolar, University of Chicago
Chair(s): Mladen Kolar, University of Chicago
10:05 AM
Combinatorial Inference for Brain Imaging Data Sets
Junwei Lu, Harvard
10:30 AM
Bayesian Structure Learning for Dynamic Brain Connectivity
Presentation
Sanmi Koyejo, Department of Computer Science, University of Illinois at Urbana-Champaign
10:55 AM
Detecting Differences in Brain-Region Correlations Between Two Groups
Yuval Benjamini, Hebrew University of Jerusalem ; Itamar Faran, Hebrew University of Jerusalem; Michael Peer, Hebrew University of Jerusalem ; Shahar Arzy, Hebrew University of Jerusalem
11:20 AM
Direct Inference for Sparse Differential Network Analysis
Irina Gaynanova, Texas A&M University ; Byol Kim, University of Chicago; Mladen Kolar, University of Chicago
11:45 AM
Floor Discussion
286
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Learning Networks from Point Processes: Neuronal Connectivity Networks and Beyond — Invited Papers
Section on Statistical Learning and Data Science , IMS, ENAR
Organizer(s): Ali Shojaie, University of Washington
Chair(s): Ali Shojaie, University of Washington
10:05 AM
Context-Dependent Self-Exciting Point Processes: Models, Methods, and Risk Bounds in High Dimensions
Garvesh Raskutti, UW-Madison ; Lili Zheng, University of Wisconsin-Madison; Rebecca Willett, University of Chicago
10:30 AM
A Universal Nonparametric Event Detection Framework for Neuropixels Data
Shizhe Chen, University of California, Davis ; Hao Chen, University of California, Davis; Xinyi Deng, Columbia University
10:55 AM
Latent Network Structure Learning from High-Dimensional Multivariate Point Processes
Emma Jingfei Zhang, University of Miami ; Yongtao Guan, University of Miami
11:20 AM
Theory and Modeling for the Truncated Hawkes Process
Victor Solo, UNSW, Sydney
11:45 AM
Floor Discussion
299 !
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Machine Learning in Causal Inference with Applications in Complicated Settings — Topic Contributed Papers
Biometrics Section , ENAR, Section on Statistical Learning and Data Science
Organizer(s): Rui Song, NC State University
Chair(s): Hongtu Zhu, University of North Carolina at Chapel Hill
10:05 AM
DOES the MARKOV DECISION PROCESS FIT the DATA: TESTING for the MARKOV PROPERTY in SEQUENTIAL DECISION MAKING
Presentation
Chengchun Shi, The London School of Economics ; Runzhe Wan, NC State Univeristy; Rui Song, NC State University; Wenbin Lu, North Carolina State University; Ling Leng, Amazon
10:25 AM
The Confidence Interval Method for Selecting Valid Instrumental Variables
Frank Windmeijer, University of Oxford
10:45 AM
Testing an Elaborate Theory of a Causal Hypothesis
Dylan Small, University of Pennsylvania ; Bikram Karmakar, University of Florida
11:05 AM
Personalized Policy Learning Using Longitudinal Mobile Health Data
Min Qian, Columbia University ; Xinyu Hu, Uber AI Lab; Bin Cheng, Columbia University; Ken Cheung, Columbia University
11:25 AM
Discussant: Jialiang Li, National University of Singapore
11:45 AM
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
307 * !
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Advanced Survival Analysis Tools for Statistical Learning from Complex Scientific Studies — Topic Contributed Papers
Lifetime Data Science Section , Biometrics Section, ENAR
Organizer(s): Limin Peng, Emory University
Chair(s): Wenbin Lu , North Carolina State University
10:05 AM
Censored Linear Regression in the Presence or Absence of Auxiliary Survival Information
Chiung-Yu Huang, University of California at San Francisco ; Ying Sheng, University of California at San Francisco; Yifei Sun, Mailman School of Public Health, Columbia University; Detian Deng, Google
10:25 AM
Causal Mediation Analysis with Semi-Competing Risks Data
Kwun Chuen Gary Chan, University of Washington ; Fei Gao, Fred Hutchinson Cancer Research Center; Fan Xia, University of Washington
10:45 AM
Identification of Optimal Moderators for Time to Relapse
Yu Cheng, University of Pittsburgh Department of Statistics ; Bang Wang, University of Pittsburgh
11:05 AM
Flexible Semiparametric Latent Class Analysis of Recurrent Events Outcomes
Limin Peng, Emory University ; Wei Zhao, Emory University; John Hanfelt, Emory University
11:25 AM
Floor Discussion
