为大学和学术医学中心的合作生物统计单位提供灵活资金的价值

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
Stat Pub Date : 2024-04-20 DOI:10.1002/sta4.679
Emily Slade, Sarah Jane K. Robbins, Kristen J. McQuerry, Anthony A. Mangino
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引用次数: 0

摘要

大学和学术医学中心内的生物统计合作单位在各种不同的资助模式下运作;其中许多模式的共同挑战是如何分配时间开展与特定研究项目无关的活动,如专业发展、指导和行政任务。本文旨在介绍一种 "灵活资助 "的建议模式,即在一个合作生物统计单位内,资助与特定研究项目无关的活动,并详细介绍与建议模式相关的益处和挑战。我们介绍了一项定性研究的结果,该研究代表了在拟议的灵活资助模式下工作的合作生物统计学家的观点。除了举例说明作为灵活资助时间分配的一部分而开展的活动外,定性研究结果还揭示了灵活资助对合作生物统计学家(如工作满意度和职业发展)和整个合作生物统计单位(如留住人才、流程改进和领导力)的若干益处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The value of flexible funding for collaborative biostatistics units in universities and academic medical centres
Collaborative biostatistics units within universities and academic medical centres operate under a wide range of different funding models; common to many of these models is the challenge of allocating time to activities that are not linked to a specific research project, such as professional development, mentorship and administrative tasks. The purpose of this paper is to describe a proposed model for ‘flexible funding’, that is, funding that is not linked to a specific research project, within a collaborative biostatistics unit and to detail the benefits and challenges associated with the proposed model. We present results from a qualitative study representing the perspectives of collaborative biostatisticians working under the proposed flexible funding model. In addition to providing examples of activities undertaken as part of time allocated to flexible funding, the qualitative results reveal several benefits of flexible funding both for a collaborative biostatistician (e.g., job satisfaction and professional development) and for the collaborative biostatistics unit as a whole (e.g., retention, process improvement, and leadership).
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来源期刊
Stat
Stat Decision Sciences-Statistics, Probability and Uncertainty
CiteScore
1.10
自引率
0.00%
发文量
85
期刊介绍: Stat is an innovative electronic journal for the rapid publication of novel and topical research results, publishing compact articles of the highest quality in all areas of statistical endeavour. Its purpose is to provide a means of rapid sharing of important new theoretical, methodological and applied research. Stat is a joint venture between the International Statistical Institute and Wiley-Blackwell. Stat is characterised by: • Speed - a high-quality review process that aims to reach a decision within 20 days of submission. • Concision - a maximum article length of 10 pages of text, not including references. • Supporting materials - inclusion of electronic supporting materials including graphs, video, software, data and images. • Scope - addresses all areas of statistics and interdisciplinary areas. Stat is a scientific journal for the international community of statisticians and researchers and practitioners in allied quantitative disciplines.
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