Harmonizing Ethno-Regionally Diverse Datasets to Advance the Global Epidemiology of Dementia.
Harmonizing Ethno-Regionally Diverse Datasets to Advance the Global Epidemiology of Dementia.
复制标题
协调不同种族和地区的数据集以推进痴呆症的全球流行病学研究。
DOI：
10.1016/j.cger.2022.07.009
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发表时间：
2023
影响因子：
3.3
通讯作者：
Sachdev,PerminderS
中科院分区：
文献类型：
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作者：
Lipnicki,DarrenM;Lam,BenCP;Mewton,Louise;Crawford,JohnD;Sachdev,PerminderS
通过汇集来自多个来源的数据，加强了痴呆症研究。然而，方法的异质性意味着通常需要对数据进行回顾性协调，有时甚至在实施了最小化异质性的前瞻性方法时也是如此。所需的特定协调方法取决于数据类型，范围从跨来源的相对简单的可比较项目选择到协调所需的统计和技术驱动的方法
Dementia research is enhanced by bringing together data from multiple sources. However, methodological heterogeneity means that the data typically need to be retrospectively harmonized, sometimes even when prospective approaches to minimize heterogeneity have been implemented. The particular harmonization methods required depend on the data type, and range from a relatively simple choice of comparable items across sources, to the statistical and technology-driven methods needed to harmonize