Epidemiological predictive modeling: lessons learned from the Kuopio ischemic heart disease risk factor study.

Journal: Annals of epidemiology
PMID: 35354081

Abstract

PURPOSE: The use of predictive models in epidemiology is relatively narrow as most of the studies report results of traditional statistical models such as Linear, Logistic, or Cox regressions. In this study, a high-dimensional epidemiological cohort, collected within the Kuopio Ischemic Heart Disease Risk Factor Study in 1984-1989, was used to investigate the predictive ability of models with embedded variable selection.

Authors

  • Christina Brester
    Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland. Electronic address: kristina.brester@uef.fi.
  • Ari Voutilainen
    Institute of Public Health and Clinical Nutrition, Department of Medicine, University of Eastern Finland, Kuopio 70210, Finland.
  • Tomi-Pekka Tuomainen
    Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
  • Jussi Kauhanen
    Institute of Public Health and Clinical Nutrition, Department of Medicine, University of Eastern Finland, Kuopio 70210, Finland.
  • Mikko Kolehmainen
    Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland.

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