Peer-Reviewed Publication
J Clin Transl Sci2025;9(1):e131.January 1, 2025Journal Article

Integrating large language models in biostatistical workflows for clinical and translational research.

Steven C Grambow1, Manisha Desai2, Kevin P Weinfurt3, Christopher J Lindsell1, Michael J Pencina1, Lacey Rende1, Gina-Maria Pomann1
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
2Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
3Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.

Abstract

INTRODUCTION: Biostatisticians increasingly use large language models (LLMs) to enhance efficiency, yet practical guidance on responsible integration is limited. This study explores current LLM usage, challenges, and training needs to support biostatisticians. METHODS: A cross-sectional survey was conducted across three biostatistics units at two academic medical centers. The survey assessed LLM…

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