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On Exploring Hidden Structures Behind Cervical Cancer Incidence.

Authors
  • Lietzén, Niko1
  • Pitkäniemi, Janne2, 3
  • Heinävaara, Sirpa2, 3
  • Ilmonen, Pauliina1
  • 1 1 Department of Mathematics and Systems Analysis, Aalto University School of Science, Espoo, Finland. , (Finland)
  • 2 2 Institute for Statistical and Epidemiological Cancer Research, Finnish Cancer Registry, Helsinki, Finland. , (Finland)
  • 3 3 Department of Public Health, University of Helsinki, Helsinki, Finland. , (Finland)
Type
Published Article
Journal
Cancer control : journal of the Moffitt Cancer Center
Publication Date
Jan 01, 2018
Volume
25
Issue
1
Identifiers
DOI: 10.1177/1073274818801604
PMID: 30251557
Source
Medline
Keywords
Language
English
License
Unknown

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.

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