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PUBLICATIONS

A Thematic Understanding of the Current Landscape of Academic Statistical and Data Science Consulting Units

Published

Author(s)

Emily Griffith, Julia Sharp, Sarah Peskoe, Alexandra Hanlon, Jennifer Van Mullekom, Bruce Craig

Abstract

The delivery of academic statistical collaboration resources can vary among types of institutions and across time. In particular, this variation might occur in the management of infrastructure and the business model, the staffing model, and opportunities for staff development. In this manuscript, we present examples of these three themes in modern academic statistical collaboration units and describe key advantages and challenges.
Citation
Stat
Volume
13
Issue
3
Pub Type
Journals

Download Paper

https://doi.org/10.1002/sta4.718
Local Download

Keywords

collaboration, infrastructure, statistics, biostatistics, data science
Mathematics and statistics

Citation

Griffith, E. , Sharp, J. , Peskoe, S. , Hanlon, A. , Van Mullekom, J. and Craig, B. (2024), A Thematic Understanding of the Current Landscape of Academic Statistical and Data Science Consulting Units, Stat, [online], https://doi.org/10.1002/sta4.718, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957714 (Accessed October 28, 2025)

Issues

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Created July 26, 2024, Updated September 16, 2024
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