美国医学院中的生物统计学荒漠与学术生产力

IF 0.7 4区 数学 Q3 STATISTICS & PROBABILITY
Stat Pub Date : 2024-05-19 DOI:10.1002/sta4.693
Terrie Vasilopoulos, Dmitry Tumin
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引用次数: 0

摘要

生物统计学的教学和实践对医学教育至关重要,但许多医学院获得生物统计学专业知识的机会有限。农村地区和历史上医疗服务不足地区的医学院在获取生物统计学专业知识方面可能处于双重不利地位,因为它们缺乏财政资源,而且当地也缺乏培训后代生物统计学家的课程。利用有关美国医学院和生物统计学博士课程的公开数据,我们确定了在 "生物统计学荒漠"(没有生物统计学附属或联合博士课程的机构)中运营的医学院,并将每所医学院在生物统计学荒漠中的位置与学术生产力(以年度学术出版物数量计算)相关联。在我们分析的 126 所授予医学博士学位的医学院中,46% 的医学院位于生物统计荒漠,每年发表论文的中位数为 590 篇,而设有联合博士课程的医学院为 993 篇,设有附属课程的医学院为 1,369 篇。在多变量分析中,生物统计学、流行病学和研究设计(BERD)课程的存在与较高的学术生产力相关,而与生物统计学博士课程的附属关系或同处一地无关。生物统计学、流行病学和研究设计(BERD)项目等结构化生物统计学服务可能是医学院利用当地生物统计学人才支持学术出版的最佳机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biostatistics deserts and scholarly productivity among US medical schools
The teaching and practice of biostatistics are essential to medical education, but access to biostatistical expertise is limited at many medical schools. Medical schools in rural and historically underserved areas may be doubly disadvantaged in accessing biostatistics expertise by their lack of financial resources and a lack of local programmes training future generations of biostatisticians. Using public data on US medical schools and biostatistics PhD programmes, we identified medical schools operating in ‘biostatistics deserts’ (institutions without an affiliated or colocated PhD programme in biostatistics) and correlated each medical school's location in a biostatistics desert with scholarly productivity, operationalized as the annual number of scholarly publications. Among 126 MD‐granting medical schools in our analysis, 46% were located in a biostatistics desert and had a median of 590 publications/year, compared to 993 for medical schools with a colocated PhD programme and 1,369 with an affiliated programme. On multivariable analysis, the presence of a Biostatistics, Epidemiology, and Research Design (BERD) programme, but not affiliation or colocation with a biostatistics PhD program, was associated with higher scholarly productivity. Structured biostatistics services, such as BERD programmes, may represent the best opportunity for medical schools to leverage the local biostatistics workforce to support scholarly publication.
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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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