Melanie Wall, Columbia University Eva Petkova, New York University School of Medicine Garrett Fitzmaurice, Harvard University Susan Shortreed, Kaiser Permanente Washington Health Research Institute
Storytelling on COVID-19 Impact Using Experts' Prior Knowledge and Data from Social Media, Official Clinical Data, Digital Phenotype from Smartphones' Raw Sensor Data, and Emergency Departments — Invited Papers
International Society for Bayesian Analysis (ISBA), IMS, Royal Statistical Society, Caucus for Women in Statistics
Organizer(s): Kerrie Mengersen, Queensland University of Technology
Chair(s): TBD TBD, TBD
3:35 PM
Predicting the Impact of COVID-19 on the Emergency Departments in Lombardy, Italy
Antonietta Mira, Università della Svizzera italiana and University of Insubria; Giulia Ghilardi, Istituto di Ricerche Farmacologiche Mario Negri IRCCS; Greta Carrara, Istituto di Ricerche Farmacologiche Mario Negri IRCCS; Angela Andreella, University of Insubria; Spyros Balafas, University of Insubria; Fabrizio Ruggeri, CNR IMATI ; Ernst C Wit, Universita della Svizzera italiana; Livio Finos, University of Padova; Guido Bertolini, Laboratory of clinical epidemiology; Giovanni Nattino, Istituto di Ricerche Farmacologiche Mario Negri IRCCS
Fusing Tweets, Confirmed Cases, and Death Data to Accurately Now-Cast for COVID-19 Conor Michael Rosato, University of Liverpool; Matthew Carter, University of Liverpool; Robert Moore, University of Liverpool; John Heap, University of Liverpool; Simon Maskell, University of Liverpool; Jose Storopoli, UNINOVE - Sao Paulo - Brazil
Creating Data for Good (D4G) Programs: Roadmap and Research Highlights — Invited Panel
Social Statistics Section, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Gizem Korkmaz, University of Virginia; Sarah Stone, eScience Institute & UW Data Science for Social Good (DSSG)
Sarah Stone, eScience Institute & UW Data Science for Social Good (DSSG) Dan Richard, University of North Florida Chiara Sabatti, Stanford University Cassandra Dorius, Iowa State University Kit Rodolfa, Carnegie Mellon University Dharma Dailey, University of Washington
Statistical Methods Utilizing Historical and Real-World Data for Clinical Studies — Topic-Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, International Society for Clinical Biostatistics, Caucus for Women in Statistics
Organizer(s): Yuan Ji, The University of Chicago
Chair(s): Tianjian Zhou, Colorado State University
Justice, Equity, Diversity, and Inclusion (JEDI) in Statistics and Data Science — Topic-Contributed Panel
Justice Equity Diversity and Inclusion Outreach Group, Committee on Minorities in Statistics, ASA LGBTQ+ Advocacy Committee, Caucus for Women in Statistics
Samuel Echevaria-Cruz, Austin Community College Monica Jackson, American University Donna LaLonde, American Statistical Association Kok Ben Toh, University of Florida Kimberly Sellers, Georgetown University / U.S. Census Bureau
Model Checks for Two-Sample Location-Scale Atefeh Javidialsaadi, New Jersey Institute of technology; Shoubhik Mondal, Boehringer Ingelheim; Sundarraman Subramanian, New Jersey Institute of Technology
3:45 PM
Landmark Approach to Improve Prediction Accuracy of Long-Term Survival by Incorporating Time Information from Multiple Short-Term Events
Resmi Gupta, University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center; Jing Jing Zhang , University of Texas Health Science Center at Houston; Wen Li, University of Texas Health Science Center at Houston; Sean I Savitz , University of Texas Health Science Center at Houston; Liang Zhu, University of Texas Health Science Center at Houston; Sori Kim, University of Texas Health Science Center at Houston; Amirali Tahanan, University of Texas Health Science Center at Houston; Mohammad Hossein Rahbar, University of Texas Health Science Center at Houston
3:50 PM
Regression Analysis of Multivariate Recurrent Event Data with a Time-Varying Dependence Structure Wen Li, University of Texas Health Science Center at Houston; Mohammad Hossein Rahbar, University of Texas Health Science Center at Houston; Sean I Savitz , University of Texas Health Science Center at Houston; Liang Zhu, University of Texas Health Science Center at Houston; Resmi Gupta, University of Texas Health Science Center at Houston; Jing Jing Zhang , University of Texas Health Science Center at Houston; Sori Kim, University of Texas Health Science Center at Houston; Amirali Tahanan, University of Texas Health Science Center at Houston; Jing Ning, The University of Texas MD Anderson Cancer Center
Statistics, Data, and the Stories We Tell of Who We Are and Who We Want to Be — Invited Panel
Committee on Membership Retention and Recruitment, Committee on Statistics and Disability, ASA LGBTQ+ Advocacy Committee, Caucus for Women in Statistics
Challenging Collaborations and Lessons Learned — Topic-Contributed Panel
Section on Statistical Consulting, Section on Statistics and Data Science Education, Section on Statistical Learning and Data Science, Caucus for Women in Statistics
Organizer(s): Harry Dean Johnson, Washington State University
Manisha Desai, Departments of Medicine and Biomedical Data Science Stanford University Elaine Eisenbeisz, OMEGA STATISTICS Kim Love, K. R. Love QCC Clark Kogan, Washington State University NAYAK L POLISSAR, The Mountain-Whisper-Ligtht: Statistics & Data Science
Developing and Maintaining Open Source Resources for Statistics and Data Science Education — Invited Papers
Section on Statistics and Data Science Education, Caucus for Women in Statistics, Section on Statistical Computing, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Mine Cetinkaya-Rundel, University of Edinburgh, Duke University, RStudio
Elevating Applied Statistics in Academic Departments — Invited Panel
Section on Statistical Consulting, Committee on Applied Statisticians, Section on Teaching of Statistics in the Health Sciences, Caucus for Women in Statistics
Organizer(s): Julia Sharp, Colorado State University
Chair(s): Emily Griffith, North Carolina State University
Erin Blankenship, University of Nebraska Lincoln Rebecca Doerge, Carnegie Mellon University Sandrine Dudoit, University of California Berkeley Montserrat Fuentes, University of Iowa Heather Smith, Cal Poly, San Luis Obispo
John Bailer, Miami University Irineo Cabreros, RAND Natalie Dean, University of Florida Regina Nuzzo, American Statistical Association Brian Tarran, Significance Magazine Nick Thieme, Atlanta Journal-Constitution
Statistical Methods for Multi-Omic Data Analysis — Topic-Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistics in Epidemiology, Caucus for Women in Statistics
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Chad (Qianchuan) He, Public Health Sciences Division, Fred Hutch
1:35 PM
Individual-Level Differential Expression Analysis for Single Cell RNA-Seq Data Si Liu, Fred Hutchinson Cancer Research Center; Mengqi Zhang, University of Pennsylvania; Zhen Miao, University of Washington; Fang Han, University of Washington; Raphael Gottardo, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center
1:55 PM
Bayesian Inference on Multilayered Non-Normal Graphical Models Min Jin Ha, University of Texas MD Anderson Cancer Center; Moumita Chakraborty, University of Texas MD Anderson Cancer Center; Anindya Bhadra, Purdue University; Veerabhadran Baladandayuthapani, University of Michigan
2:15 PM
Cell Type-Specific Expression Quantitative Trait Loci Paul Little, Fred Hutchinson Cancer Research Center; Yun Li, UNC-Chapel Hill; Danyu Lin, University of North Carolina at Chapel Hill; Wei Sun, Fred Hutchinson Cancer Research Center
Win Statistics: Impact of Follow-up Time and Unbiased Estimators of Treatment Effect in the Presence of Censoring Gaohong Dong, BeiGene; Victoria Chang, BeiGene; Bo Huang, Pfizer Inc.; James Song, BeiGene; Duolao Wang, Liverpool School of Tropical Medicine, UK; Lu Mao, University of Wisconsin; Jiuzhou Wang, ImmunoGen Inc.; Johan Verbeeck, University Hasselt, Belgium ; Margaret Gamalo-Siebers, Pfizer Inc.; David C. Hoaglin, University of Massachusetts Medical School
The Stories of Effective Statistical Partnerships: An In-Depth Look at Educational Outreach, Knowledge, and Data Sharing — Invited Panel
Stats. Partnerships Among Academe Indust. & Govt. Committee, ASA Caucus of Academic Representatives, Committee on Funded Research, Caucus for Women in Statistics
Organizer(s): Pamela McGovern, USDA National Agricultural Statistics Service
Chair(s): William Scott Clark, Eli Lilly and Company
William Brenneman, Procter & Gamble Company Leslie McClure, Drexel University Fanni Natanegara, Eli Lilly and Company Barry Nussbaum, Retired, Environmental Protection Agency Arnold Stromberg, University of Kentucky David Williamson, Centers for Disease Control and Prevention
Replicability and the Narrative of Scientific Research — Invited Papers
American Association for the Advancement of Science, Quantitative Communication Interest Group, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Prasad Patil, Boston University School of Public Health
Chair(s): Prasad Patil, Boston University School of Public Health
1:35 PM
Transportability of Risk Prediction Models Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University; Issa Dahabreh, Brown University; Bing Li, Brown University; Samantha Morrison, Brown University
1:55 PM
Cross-Study Learning for Generalist and Specialist Predictions Boyu Ren, McLean Hospital; Prasad Patil, Boston University School of Public Health; Francesca Dominici, Harvard University; Giovanni Parmigiani, Harvard University; Lorenzo Trippa, Harvard University
Kaleab Abebe, University of Pittsburgh School of Medicine Walter Ambrosius, Wake Forest School of Medicine Garnet Anderson, Fred Hutchinson Cancer Research Center Christopher Coffey, University of Iowa College of Public Health Valerie Durkalski-Mauldin, Medical University of South Carolina
Recent Developments in High-Throughput, Large-Scale Biomedical Data Analysis — Invited Papers
International Chinese Statistical Association, Caucus for Women in Statistics
Organizer(s): Yinglei Lai, The George Washington University
Chair(s): Yinglei Lai, The George Washington University
10:05 AM
Statistical Analysis of Multi-Sample, Single-Cell RNA-Seq Data with Applications to COVID-19 Hongkai Ji, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Duke University School of Medicine; Boyang Zhang, Johns Hopkins Bloomberg School of Public Health; Runzhe Li, Johns Hopkins Bloomberg School of Public Health; Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Wenpin Hou, Johns Hopkins Bloomberg School of Public Health; Zhao Ruzhang, Johns Hopkins Bloomberg School of Public Health; Wang Yi, Johns Hopkins Bloomberg School of Public Health; Zeyu Chen, Institute of Immunology, University of Pennsylvania
On the Geometry of Bayesian Inference Garritt L Page, Brigham Young University; Miguel De Carvahlo, University of Edinburgh; Bradley Barney, University of Utah
Clinical Trials Impacted by the COVID-19 Pandemic: Adaptive Designs to the Rescue?
Cornelia Kunz, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany ; Silke Jörgens, Janssen-Cilag GmbH, Neuss, Germany ; Frank Bretz, Novartis AG; Nigel Stallard, The University of Warwick, Coventry, UK; Kelly Van Lancker, Ghent University, Belgium; Dong Xi, Novartis Pharmaceuticals, East Hanover, New Jersey, USA ; Sarah Zohar, Sorbonne Université, Paris, France; Christoph Gerlinger, Statistics and Data Insights, Bayer AG, Berlin, Germany ; Tim Friede, University Medical Center Göttingen, Göttingen, Germany
