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Inter-examiner Reliability in Caries Trials
Joseph L. Fleiss
Division of Biostatistics, Columbia University, School of Public Health, 600 West 168 St., New York, N. Y. 10032, U.S.A., Departments of Educational Psychology and Oral Medicine, State University of New York at Buffalo, Buffalo, New York 14214
Malcolm J. Slakter
Division of Biostatistics, Columbia University, School of Public Health, 600 West 168 St., New York, N. Y. 10032, U.S.A., Departments of Educational Psychology and Oral Medicine, State University of New York at Buffalo, Buffalo, New York 14214
Stuart L. Fischman
Division of Biostatistics, Columbia University, School of Public Health, 600 West 168 St., New York, N. Y. 10032, U.S.A., Departments of Educational Psychology and Oral Medicine, State University of New York at Buffalo, Buffalo, New York 14214
Molly H. Park
Division of Biostatistics, Columbia University, School of Public Health, 600 West 168 St., New York, N. Y. 10032, U.S.A., Departments of Educational Psychology and Oral Medicine, State University of New York at Buffalo, Buffalo, New York 14214
Neal W. Chilton
Division of Biostatistics, Columbia University, School of Public Health, 600 West 168 St., New York, N. Y. 10032, U.S.A., Departments of Educational Psychology and Oral Medicine, State University of New York at Buffalo, Buffalo, New York 14214
A statistical model is given for representing the several components of variability present in measurements (e.g., DMFS scores) given by examiners to patients. Methods for making inferences about the intraclass correlation coefficient of reliability are presented and illustrated on a real set of data. The proper analysis of data from a reliability study is shown to depend on the planned design and analysis of the clinical or field trial to be conducted following the reliability trial.
Journal of Dental Research, Vol. 58, No. 2,
604-609 (1979)
DOI: 10.1177/00220345790580021101

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