{"title":"美国医学院中的生物统计学荒漠与学术生产力","authors":"Terrie Vasilopoulos, Dmitry Tumin","doi":"10.1002/sta4.693","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":56159,"journal":{"name":"Stat","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Biostatistics deserts and scholarly productivity among US medical schools\",\"authors\":\"Terrie Vasilopoulos, Dmitry Tumin\",\"doi\":\"10.1002/sta4.693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":56159,\"journal\":{\"name\":\"Stat\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2024-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stat\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1002/sta4.693\",\"RegionNum\":4,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stat","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1002/sta4.693","RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
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.
StatDecision 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.