All Times EDT
Legend:
Activity Details
115 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Strategies for Training the Next Generation of Applied Statisticians — Invited Panel
Section on Statistical Consulting , Section on Statistics and Data Science Education
Organizer(s): Emily H Griffith, North Carolina State Universit
Chair(s): Julia Sharp, Colorado State University
1:05 PM
Strategies for Training the Next Generation of Applied Statisticians
Panelists:
Emily H Griffith, North Carolina State Universit Erin K. Lake, Harvard School of Public Health Heather S. Smith, Cal Poly San Luis Obispo Kathryn Irvine, United States Geological Survey Michelle Wiest, University of Idaho Miranda Kroehl, University of Colorado Anshutz Medical Campus
2:40 PM
Floor Discussion
127 * !
Mon, 8/3/2020,
1:00 PM -
2:50 PM
Virtual
Understanding Statistics for Good: Integrating Service Learning into Statistics Education — Topic Contributed Papers
ASA-MAA Joint Committee on Undergraduate Statistics , Section on Statistics and Data Science Education, Section on Statistical Consulting
Organizer(s): Judith E Canner, California State University, Monterey Bay
Chair(s): Marian Frazier, College of Wooster
1:05 PM
Engaging Undergraduate Students in the Entire Community-Based Research Process While Serving Rural Northern New York Communities
Presentation
Joel LaLone, Center for Community Studies At Jefferson Community College (SUNY) ; Larry Danforth, Center for Community Studies at Jefferson Community College (SUNY)
1:25 PM
Statistical Consultancy as Service Learning in Undergraduate Statistics Courses
Stacy DeRuiter, Calvin University
1:45 PM
Doing Social Justice: Turning Talk into Action in a Statistics Service-Learning Course
Presentation
Alana Unfried, California State University, Monterey Bay
2:05 PM
20 Years of StatCom at Purdue: Statistics in the Community and What Drives Engagement
Presentation
Andrew Thomas
3:25 PM
Discussant: Judith E Canner, California State University, Monterey Bay
2:45 PM
Floor Discussion
150 *
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Operating a Private Statistical Consulting and Collaboration Practice: Words of Wisdom from Experts in the Field — Invited Panel
Section on Statistical Consulting , Section on Statistical Learning and Data Science, Section on Statistics and Data Science Education
Organizer(s): Harry Dean Johnson, Washington State University
Chair(s): Clark Kogan, Washington State University
10:05 AM
Operating a Private Statistical Consulting and Collaboration Practice: Words of Wisdom from Experts in the Field
Presentation
Panelists:
Stephen Simon , P. Mean Consulting Elaine Eisenbeisz , OMEGA STATISTICS Karen Grace-Martin, The Analysis Factor Kim Love , K. R. Love Quantitative Consulting and Collaboration Nayak Polissar , The Mountain-Whisper-Light Statistics
11:40 AM
Floor Discussion
218
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
Contributed Poster Presentations: Section on Statistical Consulting — Contributed Poster Presentations
Section on Statistical Consulting
1:
Necessity for Public Domain Availability of Computing Software for Federal EEOICPA Compensation for Exposure to Nuclear Weapon Radiation
Chris Barker, Statistical Planning and Analysis Services, Inc. ; Terrie Barrie, ANWAG
3:
Estimation of Correlation Coefficients in the Presence of Repeated Measures
Amy Pan, Medical College of Wisconsin ; Vasutakarn Chongthammakun, Medical College of Wisconsin; Jennifer Gerardin, Medical College of Wisconsin
4:
A Bayesian Ordinal Logistic Model for Evaluating Error in Color Chart Based Diagnosis of Airway Bleeding in Racehorses
Clark Kogan, Washington State University ; Warwick Bayly, Washington State University; Renaud Léguillette, University of Calgary; Linnea Warlick, Washington State University
268 * !
Tue, 8/4/2020,
1:00 PM -
2:50 PM
Virtual
Extreme Machine Learning Methods and Applications: Domestic and International — Topic Contributed Papers
Section on Statistical Consulting , Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Kelly Toppin, IMT Corporation
Chair(s): Lu Chen, National Institute of Statistical Sciences
1:05 PM
Hierarchical Gaussian Processes for Outlier Detection
Felix Jimenez, National Institute of Standards and Technology
1:25 PM
Empirical data-fusion approaches to generate model covariates
Luca Sartore, National Institute of Statistical Sciences ; Jake Abernethy, NASS; Claire Boryan, USDA; Lu Chen, USDA; Kevin Hunt, USDA; CLIFFORD H SPIEGELMAN, Texas A&M University; Linda J Young, NASS
1:45 PM
Early Season Planted Acreage Estimates Using Machine Learning
Jake Abernethy, NASS ; Claire Boryan, USDA; Kevin Hunt, USDA; Luca Sartore, National Institute of Statistical Sciences
2:05 PM
Classifying Evolving Data Streams
Kelly Toppin, IMT Corporation ; Luca Sartore, National Institute of Statistical Sciences
2:25 PM
Floor Discussion
291 * !
Wed, 8/5/2020,
10:00 AM -
11:50 AM
Virtual
Communicating Statistical Concepts in the Classroom, to the Public, and Beyond — Invited Papers
Section on Statistics and Data Science Education , Section on Statistical Consulting, Section on Statistical Graphics
Organizer(s): Lucy D''Agostino McGowan, Wake Forest University
Chair(s): Donna LaLonde, American Statistical Association
10:05 AM
The Ups and Downs of Communicating Complex Statistical Ideas
Lucy D'Agostino McGowan, Wake Forest University
10:25 AM
Communicating Statistics and Data Science to the Masses via Open Case Studies
Stephanie C Hicks, Johns Hopkins Bloomberg School of Public Health ; Margaret Taub, Johns Hopkins; Leah Jager, Johns Hopkins Bloomberg School of Public Health; Carrie Wright, Johns Hopkins Bloomberg School of Public Health
10:45 AM
How (Not) to Bring Wikipedia into the Classroom
Amelia McNamara, University of St Thomas
11:05 AM
Getting Your Message Out with Podcasting
Roger Peng, Johns Hopkins Bloomberg School of Public Health
11:25 AM
Discussant: Regina Nuzzo, American Statistical Association
11:45 AM
Floor Discussion
352 *
Wed, 8/5/2020,
10:00 AM -
2:00 PM
Virtual
Section on Statistical Consulting CPapers 1 — Contributed Papers
Section on Statistical Consulting , Text Analysis Interest Group
Chair(s): Summer Han, Stanford University
Using Publicly-Available Data to Assess an Organization’s Research Scope
Peter John De Chavez, PepsiCo ; Jingting Hui, PepsiCo
A Framework for Successful Statistical Consulting: A Concise, Field-Specific Handbook to Help Scientists Make Effective Use of Statistical Methods in Their Field
Presentation
Wanchunzi Yu, Bridgewater State University ; Irina Seceleanu, Bridgewater State University; Kevin Rion, Bridgewater State University
Methodological Challenges That Keep Us Statistically Sharp: Modeling Associations Between Repeated Patient and Physician Reported Outcomes
Naomi Brownstein, Moffitt Cancer Center
“But What About Interactions, Are Any of Those Significant?” Resolving the Collaborative Nightmares of Covariate Interactions Through Regularization
Ryan A. Peterson, University of Colorado ; Joseph Cavanaugh, University of Iowa
Goals for Statistics and Data Science Collaborations
Eric Alfred Vance, University of Colorado Boulder
Evolving the Applied Statistics Value Proposition
Randy Bartlett
People Are “Buggy”: Challenges in Working with Other Humans
Presentation
Michiko Wolcott, Msight Analytics
393 *
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Genetic Data Analysis, What Could Possibly Go Wrong? — Invited Papers
Section on Statistics in Genomics and Genetics , Section on Statistical Consulting, ENAR
Organizer(s): Kwang-Youn A Kim, Northwestern University
Chair(s): Donghyung Lee, Miami University
1:05 PM
To Ignore or Not to Ignore: Dealing with Missing Gene Expression Data
Kwang-Youn A Kim, Northwestern University
1:25 PM
Too Good to Be True: Statistical Follies in Genome Wide Association Studies
Sharon Lutz, Harvard Medical School ; Joanne Sordillo, Harvard Medical School; Ann Wu, Harvard Medical School
1:45 PM
Biological Truth or Experimental Artifact? Developing Biomarkers That Generalize Across Genomic Assay Technologies
Rosemary Braun, Northwestern University
2:05 PM
Putting the Science in Genomic Data Science
Sihai Dave Zhao, University of Illinois at Urbana-Champaign
2:25 PM
Statistics for Poop Data: Keeping Your Microbiome Analyses Out of the Toilet
Michael C Wu, Fred Hutchinson Cancer Research Center
2:45 PM
Floor Discussion
431 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
Astronomical(Ly) Big Data for Statisticians — Invited Papers
Section on Physical and Engineering Sciences , Astrostatistics Special Interest Group, Section on Statistical Consulting, Quality and Productivity Section
Organizer(s): Vinay Kashyap, Center for Astrophysics | Harvard & Smithsonian
Chair(s): Gwendolyn M Eadie, University of Toronto
10:05 AM
The Astrophysics Data Access Infrastructure
Presentation
Peter Kelsey George Williams, Center for Astrophysics | Harvard & Smithsonian
10:25 AM
X-Ray Data and Its Many Challenges
Kristin Madsen, Caltech
10:45 AM
Gaia Data: Challenges for the Exploitation of a Large and Complex Dataset
Presentation
Xavier Luri, Universitat de Barcelona ; Frederic Arenou, GEPI, Observatoire de Paris, Université PSL, CNRS
11:05 AM
Solar (Data) Explosion: Challenges in Using Large Astrophysical Imaging Data Sets
Katharine Reeves, Harvard-Smithsonian Center for Astrophysics
11:25 AM
Discussant: Xiao-Li Meng, Harvard University
11:45 AM
Floor Discussion
446 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
High-Dimensional Biomarkers in Drug Discovery and Early Drug Development Studies: An Integrated Data Analysis Approach — Topic Contributed Papers
Biopharmaceutical Section , Section on Statistics in Genomics and Genetics, Section on Statistical Consulting
Organizer(s): Rudradev Sengupta, Janssen Pharmaceutical Companies of Johnson and Johnson, Beerse, Belgium; Ziv Shkedy, Hasselt University
Chair(s): Paulo Bargo, Janssen Pharmaceutical Companies of Johnson and Johnson
10:05 AM
High-Dimensional Biomarkers in Drug Discovery Studies: An Introduction
Adetayo Kasim, Durham University, UK
10:25 AM
From a Single to Multiple Biomarkers: Partials Surrogacy Approach in Drug Discovery
Ziv Shkedy, Hasselt University
10:45 AM
High-Dimensional Surrogacy and Biomarkers: Computational Aspects of an Upscaled Integrated Data Analysis
Rudradev Sengupta, Janssen Pharmaceutical Companies of Johnson and Johnson, Beerse, Belgium
11:05 AM
Enriched Approaches for Deriving Biomarkers from Multiple Platform Data
Dhammika Amaratunga, -
11:25 AM
Discussant: Shahina Rahman, Texas A & M University
2:45 PM
Floor Discussion
456 !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
P-Values and "Statistical Significance": Deconstructing the Arguments — Topic Contributed Panel
Section on Statistical Consulting , Biometrics Section, IMS
Organizer(s): Deborah Mayo, Virginia Tech
Chair(s): Larry Wasserman, Carnegie Mellon University
10:05 AM
P-values and "Statistical Significance": Deconstructing the Arguments
Presentation
Panelists:
Deborah Mayo, Virginia Tech Karen Kafadar, University of Virginia Ya’acov Ritov, University of Michigan Stanley Young, CGStat
11:40 AM
Floor Discussion
457 * !
Thu, 8/6/2020,
10:00 AM -
11:50 AM
Virtual
Transforming Your Stumbling Blocks into Stepping Stones — Topic Contributed Panel
Section on Statistical Consulting , Section on Statistics and Data Science Education, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Douglas Zahn, Zahn and Associates
Chair(s): Eric Alfred Vance, University of Colorado Boulder
10:05 AM
Transforming Your Stumbling Blocks into Stepping Stones
Panelists:
Douglas Zahn, Zahn and Associates Katherine T. Halvorsen, Smith College Kathryn Hanford, University of Nebraska Jason Wilson, Biola University
11:40 AM
Floor Discussion
566 * !
Thu, 8/6/2020,
3:00 PM -
4:50 PM
Virtual
Teaching Data Science for Good: How University-Based Initiatives Are Shaping Future Statisticians’ Societal Impact — Invited Papers
Section on Statistical Consulting , Social Statistics Section, Section on Statistics and Data Science Education
Organizer(s): Emily L Morris, Department of Biostatistics, University of Michigan
Chair(s): Emily L Morris, Department of Biostatistics, University of Michigan
3:05 PM
Data for Good in Your Neighborhood: How Graduate Students and Local Communities Benefit from Collaborative Partnerships
Presentation
Stephen Salerno, University of Michigan
3:35 PM
"Data for Good" at Columbia's Data Science Institute
Tian Zheng, Columbia University
4:05 PM
Data Science Education as an Economic and Public Health Intervention: How (Bio)Statisticians Can Lead Change in the World
Jeff Leek, Johns Hopkins Bloomberg School of Public Health
4:35 PM
Floor Discussion
