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) |
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Pages (from-to) | 537-545 |
Number of pages | 9 |
Journal | Biometrics |
Volume | 54 |
Issue number | 2 |
DOIs | |
State | Published - Jun 1998 |
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Keywords
- Agreement
- Correlation
- Gold standard
- Intraclass correlation coefficient
- Method comparison study
- Random effects model
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Public Health, Environmental and Occupational Health
- Agricultural and Biological Sciences (miscellaneous)
- Applied Mathematics
- Statistics and Probability
Cite this
Evaluating agreement with a gold standard in method comparison studies. / St Laurent, Roy T.
In: Biometrics, Vol. 54, No. 2, 06.1998, p. 537-545.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Evaluating agreement with a gold standard in method comparison studies
AU - St Laurent, Roy T
PY - 1998/6
Y1 - 1998/6
N2 - 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.
AB - 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.
KW - Agreement
KW - Correlation
KW - Gold standard
KW - Intraclass correlation coefficient
KW - Method comparison study
KW - Random effects model
UR - http://www.scopus.com/inward/record.url?scp=0031775899&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0031775899&partnerID=8YFLogxK
U2 - 10.2307/3109761
DO - 10.2307/3109761
M3 - Article
C2 - 9629642
AN - SCOPUS:0031775899
VL - 54
SP - 537
EP - 545
JO - Biometrics
JF - Biometrics
SN - 0006-341X
IS - 2
ER -