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培训合作生物统计学家的方法。

Methods for training collaborative biostatisticians.

作者信息

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

机构信息

Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.

Division of General Internal Medicine, Department of Medicine, Duke University, Durham, NC, USA.

出版信息

J Clin Transl Sci. 2020 Aug 4;5(1):e26. doi: 10.1017/cts.2020.518.

Abstract

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.

摘要

临床和转化研究中对团队科学的重视提升了协作生物统计学家(CBs)在医疗保健领域的重要性。对CBs进行充分的培训和发展可确保稳健且有意义的研究得以恰当开展,因此,应将其视为生物统计学团队的高度优先重点。全面的培训通过促进更有成效和高效的合作来加强临床和转化研究。虽然许多生物统计学和流行病学的研究生项目都包括研究合作方面的培训,但其范围和时长往往有限。所以,CBs一旦被全职聘用,通常还需要额外的培训。本文提出了一种可适用于任何协作生物统计学团队的全面CB培训策略。该策略遵循生物统计学合作过程的路线图,路线图也一并呈现。开发了一种TIE方法(传授必要技能、监测这些技能的实施情况以及评估这些技能的熟练程度)来支持关键原则的采用。培训策略还纳入了“培训培训师”的方法,以使成功完成培训的CBs能够培训新员工或教员。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a96b/8057395/371bc6d78224/S205986612000518X_fig1.jpg

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