A web tool for age-period-cohort analysis of cancer incidence and mortality rates.
A web tool for age-period-cohort analysis of cancer incidence and mortality rates.
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DOI：
10.1158/1055-9965.epi-14-0300
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发表时间：
2014-11
期刊：
影响因子：
--
通讯作者：
Anderson WF
中科院分区：
文献类型：
--
作者：
Rosenberg PS;Check DP;Anderson WF
Age-period-cohort (APC) analysis can inform registry-based studies of cancer incidence and mortality, but concerns about statistical identifiability and interpretability, as well as the learning curves of statistical software packages, have limited its uptake. We implemented a panel of easy-to-interpret estimable APC functions and corresponding Wald tests in R code that can be accessed through a user-friendly web tool. Input data for the web tool consist of age-specific numbers of events and person-years over time, in the form of a rate matrix of paired columns. Output functions include model-based estimators of cross-sectional and longitudinal age-specific rates; period and cohort rate ratios that incorporate the overall annual percentage change (net drift); and estimators of the age-specific annual percentage change (local drifts). The web tool includes built-in examples for teaching and demonstration. User data can be input from a Microsoft Excel worksheet or by uploading a comma-separated-value (csv) file. Model outputs can be saved in a variety of formats including R and Excel. APC methodology can now be carried out through a freely-available user-friendly web tool. The tool can be accessed at http://analysistools.nci.nih.gov/apc/. The web tool can help cancer surveillance researchers make important discoveries about emerging cancer trends and patterns.
