Principal Component Analysis - Points of Association Between Cancer and Economic Development

Abstract

Various theories have been put forward on the demographic and health effects
and consequences of socioeconomic development. In this study, we used the
theoretical findings of the epidemiologic transition as a starting point to examine
the 2020 values of the three main cancer indicators (incidence, mortality,
prevalence). These values were compared with socioeconomic development
variables for 170 countries. The countries were grouped using hierarchical
clustering, and linear discriminant analysis was used to evaluate how appropriate
the clustering was. Principal component analysis was used to examine, by
group, which parameters are significant in each principal component and what
background factors underlie the data. The results seem to confirm the association
between cancer and socioeconomic background.