Maximum likelihood estimation of the kappa coefficient from bivariate logistic regression.
Stat Med
; 15(13): 1409-19, 1996 Jul 15.
Article
en En
| MEDLINE
| ID: mdl-8841651
ABSTRACT
We propose a maximum likelihood estimator (MLE) of the kappa coefficient from a 2 x 2 table when the binary ratings depend on patient and/or clinician effects. We achieve this by expressing the logit of the probability of positive rating as a linear function of the subject-specific and the rater-specific covariates. We investigate the bias and variance of the MLE in small and moderate size samples through Monte Carlo simulation and we provide the sample size calculation to detect departure from the null hypothesis H0 kappa = kappa 0 in the direction of H1 kappa > kappa 0.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Funciones de Verosimilitud
/
Modelos Logísticos
/
Interpretación Estadística de Datos
Tipo de estudio:
Diagnostic_studies
/
Prevalence_studies
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
Stat Med
Año:
1996
Tipo del documento:
Article
País de afiliación:
Canadá