Exact interval estimators for some commonly used measures of binary agreement.
Stat Med
; 39(6): 709-723, 2020 03 15.
Article
em En
| MEDLINE
| ID: mdl-31758584
ABSTRACT
We develop exact interval estimators for some commonly used classical measures of agreement in binary responses. We apply Monte Carlo simulation to evaluate the performance of these estimators. When the measure of agreement is homogeneous, we note that extending the results presented here to accommodate stratified analysis is straightforward. We use the data taken from a survey studying the agreement of religious identifications and the data taken from a study assessing the diagnostic performance of Whooley questions for major depression disorder to illustrate the use of these interval estimators.
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MEDLINE
Assunto principal:
Transtorno Depressivo Maior
Idioma:
En
Ano de publicação:
2020
Tipo de documento:
Article