Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression | ||||
| المجلة المصرية للسکان وتنظيم الأسرة | ||||
| Article 1, Volume 37, Issue 1, June 2004, Page 1-16 PDF (2.7 MB) | ||||
| Document Type: المقالة الأصلية | ||||
| DOI: 10.21608/mskas.2004.302208 | ||||
 View on SCiNiTO | ||||
| Author | ||||
| Ibrahim M. Abdallah* | ||||
| Colleagues of Business and Economics, United Arab Emirates University | ||||
| Abstract | ||||
| The paper proposes a parametric approach to estimate the Lorenz curve and the Gini index in the context of describing exposure-disease association. Nonparametric bootstrap statistical inference method is employed for generating estimates of statistical variability for the Gini index. The index describes the overall degree of risk variation in a population, it does not indicate where in the distribution the variation may be occurring. To remedy this limitation, analysis based on the Gini index is interpreted in conjunction with percentile estimates and a measure of skewness of the Lorenz curve. To demonstrate the proposed methodology, international data on AIDS incidence for selected countries is used. Results obtained using the Lorenz-Gini methodology for estimating disease risk are compared with results obtained from an alternative approach utilizing the negative binomial regression. | ||||
| Keywords | ||||
| Lorenz Curve; Gini Index; Disease Risk | ||||
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