Hanlon Alexandra L, Lozano Alicia J, Prakash Swathi, Bezar Emily B, Ambrosius Walter T, Brock Guy, Desai Manisha, Pollock Brad H, Sammel Mary D, Spratt Heidi, Welty Leah J, Pomann Gina-Maria
Center for Biostatistics and Health Data Science, Department of Statistics Virginia Polytechnic Institute and State University Roanoke Virginia USA.
Department of Biostatistics and Data Science, Division of Public Health Sciences Wake Forest University School of Medicine Winston-Salem North Carolina USA.
Stat (Int Stat Inst). 2022 Dec;11(1):e521. doi: 10.1002/sta4.521. Epub 2022 Dec 28.
The organizational structures of collaborative biostatistics units in academic health centers (AHCs) in the United States and their important contributions to research are an evolving and active area of discussion and inquiry. Collaborative biostatistics units may serve as a centralized resource to investigators across various disciplines or as shared infrastructure for investigators within a discipline (e.g., cancer), or a combination of both. The characteristics of such units vary greatly, and there has been no comprehensive review of their organizational structures described in the literature to date. This manuscript summarizes the current infrastructure of such units using responses from 129 leaders. Most leaders were over 45 years old, held doctoral degrees, and were on a 12-month appointment. Over half were tenured or on a tenure track and held primary appointments in a school of medicine. Career advancement metrics most important included being funded as co-investigator on NIH grants and being either first or second author on peer-reviewed publications. Team composition was diverse in terms of expertise and training, and funding sources were typically hybrid. These results provide a benchmark for collaboration models and evaluation and may be used by institutional administrators as they build, evaluate, or restructure current collaborative quantitative support infrastructure.
美国学术健康中心(AHCs)中协作生物统计学单位的组织结构及其对研究的重要贡献,是一个不断发展且活跃的讨论和探究领域。协作生物统计学单位可以作为跨学科研究人员的集中资源,也可以作为某一学科(如癌症)内研究人员的共享基础设施,或者两者兼而有之。这些单位的特点差异很大,迄今为止,文献中尚未对其组织结构进行全面综述。本手稿利用129位负责人的回复总结了此类单位的当前基础设施情况。大多数负责人年龄超过45岁,拥有博士学位,且为12个月任期。超过半数的人拥有终身教职或处于终身教职轨道,主要任职于医学院。最重要的职业发展指标包括作为国立卫生研究院(NIH)资助项目的共同研究者获得资助,以及在同行评审出版物上担任第一作者或第二作者。团队组成在专业知识和培训方面具有多样性,资金来源通常是混合型的。这些结果为合作模式和评估提供了一个基准,机构管理人员在构建、评估或重组当前的协作定量支持基础设施时可以加以利用。