Monday, February 23, 2026
12:00 - 1:00 p.m. ET via Zoom
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Session Description

With larger teams and ever more data, practicing reproducible research is becoming increasingly complex. Those analyzing the data are often different from those who collect and generate the data, and different from those interpreting the data. This can lead to gaps in the team’s knowledge around key data processing or analysis decisions. Transparent, robust documentation is also a key step to uncovering errors. This talk will describe implications of these challenges as well as some generalizable, practical solutions developed within two CTSA Biostatistics, Epidemiology, and Research Design (BERD) units.

Presenters

Leah Welty, PhD 
Professor, Department of Preventive Medicine, Division of Biostatistics and Informatics, Department of Psychiatry and Behavioral Sciences
Director, Biostatistics Collaboration Center
Northwestern University Feinberg School of Medicine

Manisha Desai, PhD
Kim and Ping Li Professor of Medicine, Biomedical Data Science, and (by courtesy) Epidemiology and Population Health
Associate Dean of Quantitative and Data Sciences
Section Chief of Biostatistics
Director of the Quantitative Sciences Unit
Director of the Biostatistics Epidemiology Research Design Program
Director of the Biostatistics Shared Resource for the Stanford Cancer Institute
Stanford University