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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

机译:RiskDiff:用于分析由于发病率或死亡率数据的风险和人口因素造成的差异的网络工具

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BackgroundAnalysing 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.ResultsA 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.ConclusionsCombining 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.
机译:背景分析在两种不同情况(例如时间点,地理区域,性别或其他社会特征)之间观察到的特定疾病的发病率或死亡率差异,对于科学或行政目的都是有用的。从流行病学和公共卫生的角度来看,非常感兴趣的是评估人口统计学因素在这些观察到的差异中的作用,以便阐明发生疾病或死亡的风险的影响。 Bashir和Estève提出的方法将观察到的变异分为三个部分:风险,人口结构和人口规模是实践中的常见选择。结果已实现了一个名为RiskDiff的基于Web的应用程序(可从http:// rht获得) (.iconcologia.net / riskdiff.htm),以执行这种统计分析,并提供文本和图形摘要。还提供了R中已实现功能的代码。结论:将流行病学与人口统计学因素相结合对于分析疾病的发病率或死亡率至关重要,尤其是在人口金字塔显示出实质性差异的情况下。实施的工具可能有助于促进和传播这种方法的使用,从而为公共卫生中的流行病学解释和决策提供建议。

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