data.Swiss.suicides

Function that organises Swiss suicide data. Data are used in Nielsen (2022) to illustrate the 2-sample age-period-cohort analysis. The analysis is presented in a vignette <a href="https://users.ox.ac.uk/~nuff0078/apc/vignettes/ReproducingN2025.pdf">ReproducingN2025.pdf</a>, <a href="https://users.ox.ac.uk/~nuff0078/apc/vignettes/ReproducingN2025.R">ReproducingN2025.R</a> on <a href="https://users.ox.ac.uk/~nuff0078/apc/index.htm">vignette</a>. Source: Riebler, Held, Rue and Bopp (2012).

Functions for age-period-cohort analysis. Aggregate data can be organised in matrices indexed by age-cohort, age-period or cohort-period. The data can include dose and response or just doses. The statistical model is a generalized linear model (GLM) allowing for 3,2,1 or 0 of the age-period-cohort factors. 2-sample analysis is possible. Mixed frequency data are possible. Individual-level data should have a row for each individual and columns for each of age, period, and cohort. The statistical model for repeated cross-section is a generalized linear model. The statistical model for panel data is ordinary least squares. The canonical parametrisation of Kuang, Nielsen and Nielsen (2008) <DOI:10.1093/biomet/asn026> is used. Thus, the analysis does not rely on ad hoc identification.

Bent Nielsen

Age-Period-Cohort Analysis

Zoe Fannon

data.Swiss.suicides function

Bent Nielsen &lt;bent.nielsen@nuffield.ox.ac.uk&gt; 7 Jul 2025

Author

Function that organises Swiss suicide data. Data are used in Nielsen (2022) to illustrate the 2-sample age-period-cohort analysis. The analysis is presented in a vignette <a href='https://users.ox.ac.uk/~nuff0078/apc/vignettes/ReproducingN2025.pdf'>ReproducingN2025.pdf</a>, <a href='https://users.ox.ac.uk/~nuff0078/apc/vignettes/ReproducingN2025.R'>ReproducingN2025.R</a> on <a href='https://users.ox.ac.uk/~nuff0078/apc/index.htm'>vignette</a>. Source: Riebler, Held, Rue and Bopp (2012).

data.Swiss.suicides: Swiss suicide data

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