On Exploring Hidden Structures Behind Cervical Cancer Incidence

Research output: Contribution to journalArticleScientificpeer-review

Researchers

Research units

  • Finnish Cancer Registry
  • University of Helsinki

Abstract

Finding new etiological components is of great interest in disease epidemiology. We consider time series version of invariant coordinate selection (tICS) as an exploratory tool in the search of hidden structures in the analysis of population-based registry data. Increasing cancer burden inspired us to consider a case study of age-stratified cervical cancer incidence in Finland between the years 1953 and 2014. The latent components, which we uncover using tICS, show that the etiology of cervical cancer is age dependent. This is in line with recent findings related to the epidemiology of cervical cancer. Furthermore, we are able to explain most of the variation of cervical cancer incidence in different age groups by using only two latent tICS components. The second tICS component, in particular, is interesting since it separates the age groups into three distinct clusters. The factor that separates the three clusters is the median age of menopause occurrence.

Details

Original languageEnglish
Pages (from-to)1-9
JournalCancer Control
Volume25
Issue number1
Publication statusPublished - 1 Jan 2018
MoE publication typeA1 Journal article-refereed

    Research areas

  • cancer incidence, cervical cancer, invariant coordinate selection, menopause, time series analysis

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