RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data
Analysing the observed differences for incidence or mortality of a particular disease between two different situations (such as time points, geographical areas, gender or other social characteristics) can be useful both for scientific or administrative purposes. From an epidemiological and public health point of view, it is of great interest to assess the effect of demographic factors in these observed differences in order to elucidate the effect of the risk of developing a disease or dying from it.
The method proposed by Bashir and Esteve, which splits the observed variation into three components: risk, population structure and population size is a common choice at practice.
Results: A web-based application, called RiskDiff has been implemented (available at http://rht.iconcologia.net/riskdiff.htm), to perform this kind of statistical analyses, providing text and graphical summaries. Code from the implemented functions in R is also provided.
An application to cancer mortality data from Catalonia is used for illustration.
Conclusions: Combining epidemiological with demographical factors is crucial for analysing incidence or mortality from a disease, especially if the population pyramids show substantial differences. The tool implemented may serve to promote and divulgate the use of this method to give advice for epidemiologic interpretation and decision making in public health.
Author: Joan VallsRamon CleriesJordi GalvezVictor MorenoRosa GispertJosep BorrasJosepa Ribes
Credits/Source: BMC Public Health 2009, 9:473
Published on: 2009-12-18
Copyright by the authors listed above - made available via BioMedCentral (Open Access). Please
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