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All Times EDT
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* = applied session ! = JSM meeting theme
Activity Details
132 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Statistics and Data Science for Vulnerable Populations in the US — Topic Contributed Panel
Royal Statistical Society , Business and Economic Statistics Section, Statistics Without Borders, Government Statistics Section
Organizer(s): Susana E Marquez Renteria, The Rockefeller Foundation
Chair(s): Susana E Marquez Renteria, The Rockefeller Foundation
1:05 PM
Data Science to Assist Vulnerable Population in the United States
Panelists:
Katherine Townsend, data.org
Caitlin Augustin, DataKind
Aras Jizan, Community Solutions
Matthew Lindsay, Mastercard
Matthew Wakeman, Benefits Data Trust
2:40 PM
Floor Discussion
137 * !
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
On Structural Changes — Invited Papers
Business and Economic Statistics Section , Section on Statistical Computing, Royal Statistical Society
Organizer(s): Sucharita Ghosh, Swiss Federal Research Institute WSL
Chair(s): Jan Beran, University of Konstanz
10:05 AM
Change Point Detection of Growth Inflection to Confluence
David S. Matteson, Cornell University
10:25 AM
Asymptotic Theory for Time Series with Changing Mean and Variance
Liudas Giraitis, Queen Mary University of London ; Violetta Dalla, National and Kapodistrian University of Athens; Peter M Robinson, London School of Economics
10:45 AM
Testing for Multiple Structural Breaks in Multivariate Long Memory Time Series
Philipp Sibbertsen, Leibniz Universitaet Hannover ; Kai Wenger, Leibniz University of Hannover; Simon Wingert, Leibniz University of Hannover
11:05 AM
On the Crossing of a Threshold Under Gaussian Subordination for Spatial Data
Sucharita Ghosh, Swiss Federal Research Institute WSL
11:25 AM
Floor Discussion
260 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Statistics and AI in Music — Topic Contributed Papers
Royal Statistical Society , Section on Statistical Learning and Data Science, IMS
Organizer(s): Jan Beran, University of Konstanz
Chair(s): Philipp Sibbertsen, Leibniz Universitaet Hannover
1:05 PM
Understanding Audio from Music Practice Sessions
Christopher Raphael, Indiana University
1:25 PM
Visualizing Music Information: Classical Composers Networks and Similarities
Presentation
Patrick Georges, University of Ottawa
1:45 PM
Statistics and AI in Music
Ahmed Elgammal, Artrendex / Rutgers University; Mark Gotham, Universität des Saarlandes / Cornell
2:05 PM
Fusing Audio and Semantic Technologies: Applying AI, Machine Learning and Data Science to Music Production and Consumption
Mark Sandler, Queen Mary University of London ; Johan Pauwels, Queen Mary University of London; David De Roure, University of Oxford; Kevin Page, University of Oxford
2:25 PM
Discussant: Jan Beran, University of Konstanz
2:45 PM
Floor Discussion
440 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
Let’s Make Everyone and Everything Count! Benefit-Risk Assessment Challenges, Lessons and Impacts in the Age of Big Data from Clinical Trials to Real-World Evidence — Topic Contributed Papers
Biopharmaceutical Section , ENAR, Royal Statistical Society
Organizer(s): Shahrul Mt-Isa, Merck
Chair(s): Shahrul Mt-Isa, Merck
10:05 AM
Individualized Treatment Choices and Benefit-Risk Prediction in Cardiovascular Clinical Trials
John Gregson ; Ruth Owen, LSHTM; Stuart Pocock, LSHTM; Shahrul Mt-Isa, Merck; Richard Baumgartner, Merck
10:25 AM
Do Birds of a Feather Flock Together? a Question of Credible Subgroup Identification and Inference on Benefitting Populations in Clinical Trials
Duy Ngo, Western Michigan University ; Patrick Schnell, The Ohio State University College of Public Health; Richard Baumgartner, Merck; Shahrul Mt-Isa, Merck; Jie Chen, Merck & Co., Inc.; Dai Feng, AbbVie
10:45 AM
Bayesian Bivariate Subgroup Analysis for Risk–benefit Evaluation
Nicholas C. Henderson, University of Michigan-Ann Arbor
11:05 AM
Opportunities and Challenges of Real-World Data (RWD) in Benefit-Risk Assessment (BRA)
Emilie Scherrer, Merck & Co Inc
11:25 AM
Everyone Counts - Regulating the Evidence from Clinical Trial Data to Real-World Evidence for the Public Good: The Past, Present, and Future
Lisa LaVange, UNC-CH
11:45 AM
Floor Discussion
463 *
Thu, 8/6/2020,
10:00 AM -
2:00 PM
Virtual
Topics in Biostatistics — Contributed Papers
Section on Medical Devices and Diagnostics , Royal Statistical Society, ENAR
Chair(s): Tyson Rogers, NAMSA
Does Concomitant Medication Tapering Impact Interim Analysis Projection
Grace Liu, Johnson & Johnson ; Karen Xia, Johnson & Johnson
The Landscape of Cancer Communication in India
Jaya Satagopan, Rutgers University School of Public Health
A Scanning-Based Inverse Propensity Weighting for Nonrandom Missing Data with Continuous Instrumental Variables
David Todem, Michigan State University ; Arkaprabha Ganguli , Department of Statistics and Probability, MSU
Applications of Design of Experiments to Develop a Robust Assay for Replacing the Rabbit Blood Sugar Bioidentity Test of Insulin Glargine
Monisha Dey, Merck & Co., Inc ; Junming Yie, Merck & Co., Inc
538 !
Thu, 8/6/2020,
1:00 PM -
2:50 PM
Virtual
Emerging Topics in Private Data Analysis — Topic Contributed Papers
IMS , Section on Statistical Learning and Data Science, Royal Statistical Society
Organizer(s): Weijie Su, University of Pennsylvania
Chair(s): Weijie Su, University of Pennsylvania
1:05 PM
Differentially Private Mean and Covariance Estimation
Presentation
Gautam Kamath, University of Waterloo
1:25 PM
KNG: The K-Norm Gradient Mechanism
Jordan Awan, Penn State University ; Matthew Reimherr, Penn State University
1:45 PM
Locally Private Learning, Estimation, Inference and Optimality
Feng Ruan, University of California at Berkeley
2:05 PM
Gaussian Differential Privacy, with Applications to Deep Learning
Jinshuo Dong, University of Pennsylvania ; Aaron Roth, University of Pennsylvania; Weijie Su, University of Pennsylvania
2:25 PM
Discussant: Xiao-Li Meng, Harvard University
2:45 PM
Floor Discussion
549 * !
Thu, 8/6/2020,
1:00 PM -
2:50 PM
Virtual
E Pluribus Unum: Achieving Your Potential in Statistics Through Different Organizations. — Topic Contributed Panel
Royal Statistical Society , Committee on Membership Retention and Recruitment, ENAR, Council of Emerging and New Statisticians (CENS)
Organizer(s): Will Eagan, Purdue University
Chair(s): Glenn D. White, Jr., ASA Committee on Membership Retention and Recruitment
1:05 PM
E Pluribus Unum: Achieving Your Potential in Statistics Through Different Organizations
Presentation
Panelists:
Will Eagan, Purdue University
Jeri Mulrow, Westat
Renee Helene Moore, Emory University
Shelley Han Liu, Icahn School of Medicine at Mount Sinai
Abie Ekangaki, Premier Research
2:40 PM
Floor Discussion
583 !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Learning Network Structure in Heterogeneous Populations — Topic Contributed Papers
Section on Statistical Learning and Data Science , Royal Statistical Society, International Indian Statistical Association
Organizer(s): Sandipan Roy, University of Bath
Chair(s): Sandipan Roy, University of Bath
3:05 PM
Modeling Network Time Series Using Generalized Network AutoRegression (GNAR)
Kathryn Leeming, University of Warwick ; Marina Knight, University of York; Guy Nason, Imperial College London; Matthew Nunes, University of Bath
3:25 PM
Sparse Locally-Stationary Wavelet Processes
Alexander Gibberd, Lancaster Unviersity
3:45 PM
Efficient Estimation of Change Points in Regime Switching Dynamic Markov Random Fields
Jing Ma, Texas A&M University
4:05 PM
Fast Algorithms for Detection of Structural Breaks in High-Dimensional Data
George Michailidis, University of Florida
4:25 PM
Optimistic Binary Segmentation with an Application in Change Point Detection Methodologies for Graphical Models in the Presence of Missing Values
Solt Kovács, ETH Zurich ; Peter Bühlmann, ETH Zurich; Lorenz Haubner, ETH Zurich; Housen Li, University of Göttingen; Malte Londschien, ETH Zurich; Axel Munk, University of Göttingen
4:45 PM
Floor Discussion