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Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004

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  • Ralph Brinks
  • Annika Hoyer
  • Sandra Landwehr

Abstract

We propose two new methods to estimate secular trends in the incidence of a chronic disease from a series of prevalence studies and mortality data. One method is a direct inversion formula, the second method is a least squares estimation. Both methods are validated in a simulation study based on data from a diabetes register. The results of the validation show that the proposed methods may be useful in epidemiological settings with sparse resources, where running a register or a series of follow-up studies is difficult or impossible.

Suggested Citation

  • Ralph Brinks & Annika Hoyer & Sandra Landwehr, 2016. "Surveillance of the Incidence of Non-Communicable Diseases (NCDs) with Sparse Resources: A Simulation Study Using Data from a National Diabetes Registry, Denmark, 1995–2004," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-13, March.
  • Handle: RePEc:plo:pone00:0152046
    DOI: 10.1371/journal.pone.0152046
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