Talks and Presentations
Recent & Upcoming
Building Trustworthy Data Analyses
Roger D. Peng
Department of Statistics, George Mason University
October 25, 2024
Past
Analytic Fluency: What It Is, Who Has It, And How It Is Learned
Matthew Vanaman
Department of Statistics and Data Sciences, University of Texas at Austin
September 13, 2024
Analytic Fluency: What It Is, Who Has It, And How It Is Learned
Matthew Vanaman
Joint Statistical Meetings, Portland, Oregon
August 8, 2024
Modeling Analytic Iteration with Probabilistic Outcome Sets
Stephanie Hicks
Joint Statistical Meetings, Portland, Oregon
August 8, 2024
Evaluating the Alignment of a Data Analysis between Analyst and Audience
Lucy D’Agostino McGowan
Joint Statistical Meetings, Portland, Oregon
August 8, 2024
Presenting the Analytic Process: Beyond Reproducibility
Roger D. Peng
Joint Statistical Meetings, Portland, Oregon
August 4, 2024
Principles for Designing Complex Data Analyses
Roger D. Peng
UT Health Houston Department of Biostatistics and Data Science
February 20, 2024, 12:00pm CST
Principles for Designing Complex Data Analyses
Roger D. Peng
Vanderbilt University Department of Biostatistics
November 1, 2023, 1:30pm CDT
Design Principles for Data Analysis
Lucy D’Agostino McGowan
ASA Section on Teaching Statistics in the Health Sciences
October 30, 2023, 3:30pm EDT (Online)
Principles for Designing Complex Data Analyses
Roger D. Peng
Boston University School of Public Health Population Health Data Science Program
Practical Principles for Data Analysis Design
Lucy D’Agostino McGowan
February 2023, University of Massachusetts, Amherst Department of Biostatistics and Epidemiology
Systematic Approaches to Diagnosing Data Analytic Problems
Roger D. Peng
October 2022, Department of Statistics, Rice University
Reproducible Research: What Have We Learned in 20 Years?
Roger D. Peng
May 2021, Beuhler-Martin Keynote Lecture, University of Minnesota Institute for Research in Statistics and its Applications
The Past and Future of Data Analysis
Roger D. Peng
May 2017, Johns Hopkins Bloomberg School of Public Health Dean’s Lecture.