Methods for training collaborative biostatisticians

Gina Maria Pomann, L. Ebony Boulware, Shari Messinger Cayetano, Manisha Desai, Felicity T. Enders, John A. Gallis, Jonathan Gelfond, Steven C. Grambow, Alexandra L. Hanlon, Angelean Hendrix, Pandurang Kulkarni, Jodi Lapidus, Hui Jie Lee, Jonathan D. Mahnken, Julie P. McKeel, Rebecca Moen, Robert A. Oster, Sarah Peskoe, Greg Samsa, Thomas G. StewartTracy Truong, Lisa Wruck, Samantha M. Thomas

Research output: Contribution to journalArticlepeer-review

16 Scopus citations


The emphasis on team science in clinical and translational research increases the importance of collaborative biostatisticians (CBs) in healthcare. Adequate training and development of CBs ensure appropriate conduct of robust and meaningful research and, therefore, should be considered as a high-priority focus for biostatistics groups. Comprehensive training enhances clinical and translational research by facilitating more productive and efficient collaborations. While many graduate programs in Biostatistics and Epidemiology include training in research collaboration, it is often limited in scope and duration. Therefore, additional training is often required once a CB is hired into a full-time position. This article presents a comprehensive CB training strategy that can be adapted to any collaborative biostatistics group. This strategy follows a roadmap of the biostatistics collaboration process, which is also presented. A TIE approach (Teach the necessary skills, monitor the Implementation of these skills, and Evaluate the proficiency of these skills) was developed to support the adoption of key principles. The training strategy also incorporates a “train the trainer” approach to enable CBs who have successfully completed training to train new staff or faculty.

Original languageEnglish (US)
Article numbere26
JournalJournal of Clinical and Translational Science
Issue number1
StatePublished - 2021


  • Collaborative biostatistician
  • collaboration
  • communication
  • professional development
  • quantitative collaboration
  • training strategy

ASJC Scopus subject areas

  • General Medicine


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