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.
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.
Authors: Henrike E Karim-Kos; Esther de Vries; Isabelle Soerjomataram; Valery Lemmens; Sabine Siesling; Jan Willem W Coebergh Journal: Eur J Cancer Date: 2008-02-14 Impact factor: 9.162
Authors: J Ribes; L Esteban; R Clèries; J Galceran; R Marcos-Gragera; R Gispert; A Ameijide; M L Vilardell; J Borras; A Puigdefabregas; M Buxó; A Freitas; A Izquierdo; J M Borras Journal: Clin Transl Oncol Date: 2013-12-12 Impact factor: 3.405
Authors: R Clèries; A Ameijide; R Marcos-Gragera; L Pareja; M Carulla; M-L Vilardell; L Esteban; M Buxó; J-A Espinàs; A Puigdefàbregas; J Ribes; A Izquierdo; J Galceran; J M Borrás Journal: Clin Transl Oncol Date: 2017-10-12 Impact factor: 3.405
Authors: Florence Glaudet; Carine Hottelart; Julien Allard; Vincent Allot; Frédérique Bocquentin; Rémy Boudet; Béatrice Champtiaux; Jean Pierre Charmes; Monica Ciobotaru; Zara Dickson; Marie Essig; Philippe Honoré; Céline Lacour; Christian Lagarde; Maria Manescu; Pierre Peyronnet; Jean Michel Poux; Jean Philippe Rerolle; Michel Rincé; Cécile Couchoud; Jean Claude Aldigier Journal: BMC Nephrol Date: 2013-06-25 Impact factor: 2.388
Authors: Paula Peremiquel-Trillas; Jon Frias-Gomez; Laia Alemany; Alberto Ameijide; Mireia Vilardell; Rafael Marcos-Gragera; Sònia Paytubi; Jordi Ponce; José Manuel Martínez; Marta Pineda; Joan Brunet; Xavier Matías-Guiu; Marià Carulla; Jaume Galceran; Ángel Izquierdo; Josep M Borràs; Laura Costas; Ramon Clèries Journal: Int J Environ Res Public Health Date: 2022-01-27 Impact factor: 3.390
Authors: Laura Esteban; Ramon Clèries; Jordi Gálvez; Laura Pareja; Josep Maria Escribà; Xavier Sanz; Angel Izquierdo; Jaume Galcerán; Josepa Ribes Journal: BMC Public Health Date: 2013-03-07 Impact factor: 3.295