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RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data
BACKGROUND: 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 a...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2803191/ https://www.ncbi.nlm.nih.gov/pubmed/20021655 http://dx.doi.org/10.1186/1471-2458-9-473 |
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author | Valls, Joan Clèries, Ramon Gálvez, Jordi Moreno, Victor Gispert, Rosa Borràs, Josep M Ribes, Josepa |
author_facet | Valls, Joan Clèries, Ramon Gálvez, Jordi Moreno, Victor Gispert, Rosa Borràs, Josep M Ribes, Josepa |
author_sort | Valls, Joan |
collection | PubMed |
description | BACKGROUND: 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 Estève, 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. |
format | Text |
id | pubmed-2803191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28031912010-01-08 RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data Valls, Joan Clèries, Ramon Gálvez, Jordi Moreno, Victor Gispert, Rosa Borràs, Josep M Ribes, Josepa BMC Public Health Software BACKGROUND: 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 Estève, 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. BioMed Central 2009-12-18 /pmc/articles/PMC2803191/ /pubmed/20021655 http://dx.doi.org/10.1186/1471-2458-9-473 Text en Copyright ©2009 Valls et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Valls, Joan Clèries, Ramon Gálvez, Jordi Moreno, Victor Gispert, Rosa Borràs, Josep M Ribes, Josepa RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
title | RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
title_full | RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
title_fullStr | RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
title_full_unstemmed | RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
title_short | RiskDiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
title_sort | riskdiff: a web tool for the analysis of the difference due to risk and demographic factors for incidence or mortality data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2803191/ https://www.ncbi.nlm.nih.gov/pubmed/20021655 http://dx.doi.org/10.1186/1471-2458-9-473 |
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