Statistical Analysis of Linked Data — Invited Papers
Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science, Caucus for Women in Statistics, Social Statistics Section
Organizer(s): Ying Han, University of Maryland, College Park; Partha Lahiri, University of Maryland, College Park
The Good, the Bad, and the Ugly: The Future of Statistics and the Public — Invited Panel
International Statistical Institute, Government Statistics Section, Social Statistics Section, Survey Research Methods Section, SSC, Social Statistics Section, Caucus for Women in Statistics
Organizer(s): John Bailer, Miami University; Regina Nuzzo, Gallaudet University; Liberty Vittert, University of Glasgow
David Spiegelhalter, Royal Statistical Society Richard Coffin, USAFacts Mark Hansen, Columbia University & David and Helen Gurley Brown Institute for Media Innovation Scott Tranter, 0ptimus Consulting Rita Ko, The Hive, data initiative of UNHCR (UN Refugee Agency)
Introductory Overview Lecture: Leading Data Science: Talent, Strategy, and Impact — Invited Special Presentation
JSM Partner Societies, Caucus for Women in Statistics
Organizer(s): Ming Li, Amazon
Chair(s): Martha Gardner, GE
During the past decade, vast amount of data has become available and readily accessible. To analyze these huge amount of data, big data infrastructure, algorithms, and methodologies have been developed and matured, which powers effective data science projects in tech companies and traditional industrial sectors. In this lecture, data science leaders will demystify real-world data science applications at scale and illustrate how to become an excellent data scientist, how to build a high-impact data science team, how to design data science curriculum and how to lead with statistics.
Section on Statistical Computing, Section on Statistical Graphics, Government Statistics Section, Section on Statistics and the Environment, Caucus for Women in Statistics
Chair(s): Wendy L Martinez, Bureau of Labor Statistics
Uncertainty Quantification of Weather Forecasts Yu Wang, University of British Columbia; Gong Zhang, University of British Columbia; Boyi Hu, University of British Columbia; Ho Yin Ho, University of British Columbia
Introductory Overview Lecture: Multivariate Data Modeling with Copulas — Invited Special Presentation
JSM Partner Societies, Caucus for Women in Statistics
Organizer(s): Christian Léger, Université de Montréal
Chair(s): Bruno Rémillard, HEC Montreal
Regarded as an esoteric concept 30 years ago, copulas and copula models feature today among the most powerful and appealing ways of accounting for dependence in multivariate data. This modeling strategy has found numerous applications in finance, insurance, biostatistics and environmental sciences. This introductory overview lecture, delivered by two active researchers in the area, will describe in simple terms the fundamental principles of this approach and provide concrete illustrations of its use.
In the first part, the notions of copula and copula models will be introduced. The fundamental role of rank-based techniques for inference purposes will be highlighted. Various tools for model construction, fitting and validation will first be presented in the vanilla case of multivariate continuous data without covariates. It will then be seen how extensions can lead, e.g., to powerful tests of independence for sparse contingency tables and new effective ways of analyzing multivariate time series data.
In the second part, selected examples of advanced copula modeling will be discussed. Ways of combining GLMs with copulas will be illustrated. Various strategies for copula modeling of high-dimensional data will also be sketched, with special emphasis on hierarchical dependence structures and sparsity. Finally, techniques for infering a hierarchical dependence structure from data will be outlined. Illustrations will be drawn from the fields of insurance, finance, and hydrology.
Late-Breaking Session: Addressing Sexual Misconduct in the Statistics Community — Invited Special Presentation
JSM Partner Societies, Caucus for Women in Statistics, Committee on Women in Statistics
Organizer(s): Stephanie Hicks, ASA Committee on Women in Statistics
Chair(s): Keegan Korthauer, Dana-Farber Cancer Institute
2:05 PM
Addressing Sexual Misconduct in the Statistics Community Leslie McClure, Drexel University; Kristian Lum, Human Rights Data Analysis Group; Kerrie Mengersen, Queensland University of Technology; Lance Waller, Emory University; Dianne Cook, Monash University; Emma Benn, Icahn School of Medicine at Mount Sinai; Brian Millen, Eli Lilly
G. David Williamson, Centers for Disease Control and Prevention Charmaine B Dean, University of Waterloo Bonnie LaFleur, HTG Molecular Diagnostics, Inc. William Brenneman, The Procter & Gamble Company
Karen Bandeen-Roche, Johns Hopkins University Jeffrey Buzas, University of Vermont Merlise Clyde, Duke University Lloyd Edwards, University of Alabama at Birmingham
New Methodology Developments in Single Cell RNA-Seq — Topic Contributed Papers
International Chinese Statistical Association, Section on Statistics in Genomics and Genetics, Caucus for Women in Statistics
Organizer(s): Zhijin Wu, Brown University
Chair(s): Zhijin Wu, Brown University
10:35 AM
Single-Cell ATAC-Seq Signal Extraction and Enhancement Hongkai Ji, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health
The Impact of PEPFAR PMTCT Funding on Reduced Infant Mortality and Improved ANC Care in Kenya: a Quasi-Experimental Evaluation Donna Spiegelman, Harvard T.H. Chan School of Public Health; Dale Barnhart, Harvard T.H Chan School of Public Health; Isaac Tsikhutsu , Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Fredrick Sawe , Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD ; Jane Muli, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Duncan Kirui, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; William Sugut, Walter Reed Program-Kericho, Kenya; U.S. Military HIV Research Program, Silver Spring, MD; Nareen Abboud, Office of the U.S. Global AIDs Coordinator and Health Diplomacy; Tiffany Hamm, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Peter Coakley, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Patrick W. Hickey, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Vanessa Wolfman, U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Elizabeth Lee, U.S. Military HIV Research Program, Walter Reed Army Institute of Research