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 |
|---|---|
| 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
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