Instrumental variables in the evaluation of diagnostic test procedures when the true disease state is unknown

N. J.D. Nagelkerke, V. Fidler, M. Buwalda

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

We explore the estimation of sensitivity and specificity of diagnostic tests when the true disease state is unknown. Instrumental variables which subdivide the patient population are used. A logistic model, relating these instrumental variables to the (unknown) true disease state is proposed. It is shown that this procedure allows the goodness‐of‐fit to the resulting model to be tested.

Original languageEnglish
Pages (from-to)739-744
Number of pages6
JournalStatistics in Medicine
Volume7
Issue number7
DOIs
Publication statusPublished - Jul 1988

Keywords

  • Diagnostic tests
  • Instrumental variables
  • Logistic models
  • Sensitivity
  • Specificity

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

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