Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression | ||
| المجلة المصرية للسکان وتنظيم الأسرة | ||
| Article 1, Volume 37, Issue 1, June 2004, Pages 1-16 PDF (2.7 M) | ||
| Document Type: المقالة الأصلية | ||
| DOI: 10.21608/mskas.2004.302208 | ||
| 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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