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nhanesA:实现 NHANES 研究的透明度和可重复性。

nhanesA: achieving transparency and reproducibility in NHANES research.

机构信息

School of Computing and Artificial Intelligence, Southwest Jiaotong University, No. 999, Xian Rd, Pidu Dist., Chengdu, Sichuan 611756, China.

Center for Computational Biomedicine, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA.

出版信息

Database (Oxford). 2024 Apr 15;2024. doi: 10.1093/database/baae028.

Abstract

The National Health and Nutrition Examination Survey provides comprehensive data on demographics, sociology, health and nutrition. Conducted in 2-year cycles since 1999, most of its data are publicly accessible, making it pivotal for research areas like studying social determinants of health or tracking trends in health metrics such as obesity or diabetes. Assembling the data and analyzing it presents a number of technical and analytic challenges. This paper introduces the nhanesA R package, which is designed to assist researchers in data retrieval and analysis and to enable the sharing and extension of prior research efforts. We believe that fostering community-driven activity in data reproducibility and sharing of analytic methods will greatly benefit the scientific community and propel scientific advancements. Database URL: https://github.com/cjendres1/nhanes.

摘要

《国家健康与营养调查》提供了关于人口统计学、社会学、健康和营养的综合数据。自 1999 年以来,该调查每两年进行一次,其大部分数据都可以公开获取,这使其成为研究健康的社会决定因素或跟踪肥胖或糖尿病等健康指标趋势等领域的关键资源。收集和分析这些数据提出了许多技术和分析方面的挑战。本文介绍了 nhanesA R 包,它旨在帮助研究人员进行数据检索和分析,并促进先前研究工作的共享和扩展。我们相信,促进数据可重复性和分析方法共享的社区驱动活动将使科学界受益匪浅,并推动科学进步。数据库网址:https://github.com/cjendres1/nhanes。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0afa/11020206/99ef6f05e36d/baae028f1.jpg

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