Abstract
We develop a statistical model for method comparison studies where a gold standard is present and propose a measure of agreement. This measure can be interpreted as a population correlation coefficient in a constrained bivariate model. An estimator of this coefficient is proposed and its statistical properties explored. Applications of the new methodology to data from the medical literature are presented.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 537-545 |
| Number of pages | 9 |
| Journal | Biometrics |
| Volume | 54 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1 1998 |
Fingerprint
Keywords
- Agreement
- Correlation
- Gold standard
- Intraclass correlation coefficient
- Method comparison study
- Random effects model
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry, Genetics and Molecular Biology(all)
- Immunology and Microbiology(all)
- Agricultural and Biological Sciences(all)
- Applied Mathematics