Measures of Interobserver Agreement and Reliability

2. Auflage 2020
ISBN: 978-0-367-57706-3
Verlag: CRC Press

Buch, Englisch, 291 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 447 g

Reihe: Chapman & Hall/CRC Biostatistics Series

Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis of reliability and agreement studies. It examines factors affecting the degree of measurement errors in reliability generalization studies and characteristics influencing the process of diagnosing each subject in a reliability study. The book also illustrates the importance of blinding and random selection of subjects.

New to the Second Edition

- New chapter that describes various models for methods comparison studies

- New chapter on the analysis of reproducibility using the within-subjects coefficient of variation

- Emphasis on the definition of the subjects’ and raters’ population as well as sample size determination

This edition continues to offer guidance on how to run sound reliability and agreement studies in clinical settings and other types of investigations. The author explores two ways of producing one pooled estimate of agreement from several centers: a fixed-effect approach and a random sample of centers using a simple meta-analytic approach. The text includes end-of-chapter exercises as well as downloadable resources of data sets and SAS code.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Shoukri, Mohamed M.

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Pharmakologie, Toxikologie

Inhaltsverzeichnis

General Introduction. Reliability for Continuous Scale Measurements. Method-Comparison Studies. Population Coefficient of Variation as a Measure of Precision and Reproducibility. Measures of Agreement for Dichotomous Outcomes. Coefficients of Agreement for Multiple Rates and Multiple Categories. References. Index.

Über Autor(innen)

Mohamed M. Shoukri is a principal scientist and the chairman of the Department of Biostatistics, Epidemiology, and Scientific Computing at King Faisal Specialist Hospital & Research Centre. He is also an adjunct professor of biostatistics in the Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry at the University of Western Ontario. Dr. Shoukri is a fellow of the Royal Statistical Society of London and an elected member of the International Statistical Institute.