https://scholars.lib.ntu.edu.tw/handle/123456789/521769
標題: | Characterizing exposure-disease association in human populations using the Lorenz curve and Gini index | 作者: | WEN-CHUNG LEE | 公開日期: | 1997 | 卷: | 16 | 期: | 7 | 起(迄)頁: | 729-739 | 來源出版物: | Statistics in Medicine | 摘要: | To characterize exposure-disease association in human populations, epidemiologists have long relied upon such indices as 'relative risk' and/or 'attributable risk'. However, the relative risk is not in a common unit which permits comparison across different exposures or different diseases and the attributable risk may not adequately catch and describe the variation of disease risks in populations. The present paper discusses the possibility of using the summary index of the Lorenz curve, the Gini index, as an alternative measure of exposure-disease association. It is found that this index can be interpreted in several ways (as the coefficient of deviation in disease risk or relative risk, the information content of the exposure, the impact fraction of an exposure-lowering programme, and the averaged impact fraction) and is a promising alternative as a fundamental measure in epidemiology. Further studies are warranted to investigate its statistical properties. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0030896280&doi=10.1002%2f%28SICI%291097-0258%2819970415%2916%3a7%3c729%3a%3aAID-SIM491%3e3.0.CO%3b2-A&partnerID=40&md5=6399ba0a1d5579c47b80ea7b3972df1e https://scholars.lib.ntu.edu.tw/handle/123456789/521769 |
ISSN: | 0277-6715 | DOI: | 10.1002/(SICI)1097-0258(19970415)16:7<729 | SDG/關鍵字: | article; disease association; epidemiology; human; population exposure; risk assessment; statistical analysis; Disease Transmission; Epidemiologic Methods; Humans; Models, Statistical; Population Density; Prevalence; Reproducibility of Results; Research Design; Risk; Risk Factors |
顯示於: | 流行病學與預防醫學研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。