Review papers : Design and analysis of reliability studies

Author:

Dunn Graham1

Affiliation:

1. Department of Biostatistics and Computing, Institute of Psychiatry, London

Abstract

This review covers the design and analysis of essentially two types of reliability study: method comparison studies and generalizability (including inter-rater reliability) experiments. Likelihood-based methods of inference (confirmatory factor analysis and REML estimation of variance components, for example) are advocated, partly because of their ease of use but, primarily as a stimulus to the use of more ambitious designs for the investigation of the quality of measurements. The more sophisticated approaches are not intended to replace the simpler traditional methods, however, but are expected to be used to supplement them.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

Reference136 articles.

1. STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

2. Fletcher CM, Oldham PD Bibliography on observer error and variation In: Witts LJ ed, Medical surveys and clinical trials 2ndedition. New York: Oxford University Press, 1964: 39-44.

3. The Reliability of Clinical Methods, Data and Judgments

4. A bibliography of publications on observer variability

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