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 language | English |
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Pages (from-to) | 739-744 |
Number of pages | 6 |
Journal | Statistics in Medicine |
Volume | 7 |
Issue number | 7 |
DOIs | |
Publication status | Published - Jul 1988 |
Externally published | Yes |
Keywords
- Diagnostic tests
- Instrumental variables
- Logistic models
- Sensitivity
- Specificity
ASJC Scopus subject areas
- Epidemiology
- Statistics and Probability