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Tytuł oryginału: Visualising exposure-disease association: the Lorenz curve and the Gini index.
Autorzy: Llorca Javier, Delgado-Rodriguez Miguel
Źródło: Med. Sci. Monitor 2002: 8 (10) s.MT193-MT197, il., tab., bibliogr. 10 poz.
Sygnatura GBL: 313,278

Typ dokumentu:
  • praca epidemiologiczna
  • tytuł obcojęzyczny

    Wskaźnik treści:
  • ludzie

    Streszczenie angielskie: Background: It has been suggested that the summary index of teh Lorenz curve, the Gini index, should be used to characterize the exposure-disease association, rather than relative and attributable risks. Neretheless, teh sampling behavior of teh gini index in epidemiological settings, and the relationships between the Lorenz curve and the usual indices of risk, need to be more deeply understood. Material/Methods: The present paper analyzes the geometrical relationships between teh Lorenz curve and the relative and attibutable risks based on two of teh main sampling schemes (cohort and casecontrol designs). Examples for both designs are provided. Gini index confidence intervals are obtained by bootstrap. Results: The Gini index is a function of teh proportion of the population at each level fo exposure, relative risk and attributable risk. If exposure is ordered by increasing levels of risk. The Lorenz curve contains all t;eh information about relative and attibutable risks and distribution of exposure in the population. Therefore, the Lorenz curve easily allows both risks and their distribution in the analyzed population to be visualised. Conclusions: The Lorenz curve and the Gini index can complement the information privided by realtive and attibutable risks.

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