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.
Abdallah, Ibrahim M.. (2004). Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression. المجلة المصرية للسکان وتنظيم الأسرة, 37(1), 1-16. doi: 10.21608/mskas.2004.302208
MLA
Ibrahim M. Abdallah. "Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression", المجلة المصرية للسکان وتنظيم الأسرة, 37, 1, 2004, 1-16. doi: 10.21608/mskas.2004.302208
HARVARD
Abdallah, Ibrahim M.. (2004). 'Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression', المجلة المصرية للسکان وتنظيم الأسرة, 37(1), pp. 1-16. doi: 10.21608/mskas.2004.302208
VANCOUVER
Abdallah, Ibrahim M.. Estimating Disease Risk Using Lorenz Curve and Negative Binomial Regression. المجلة المصرية للسکان وتنظيم الأسرة, 2004; 37(1): 1-16. doi: 10.21608/mskas.2004.302208
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