Paperback : £44.56
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 a CD-ROM of data sets and SAS code.
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 a CD-ROM of data sets and SAS code.
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.
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.
Praise for the First Edition ! an important strength of this text is that it brings together technical results on agreement statistics from a variety of sources, and it often provides information about the precision of the estimates and interval estimates ! this text provides a handy compilation of statistical approaches to interobserver agreement ! biostatisticians !are likely to find the summary and results to be helpful, and they will want to add this book to their collection. --Patrick E. Shrout, New York University, Statistics in Medicine, Vol. 25, 2006 Mohamed Shoukri is well placed to write this book, as he is one of the foremost current researchers in this field. I recommend it. --Journal of the Royal Statistical Society The well-written specialized book by Shoukri illustrates the meaning and importance of the measures of interobserver agreement with fun examples. The author is known for clear presentation. --Journal of Statistical Computation and Simulation, Vol. 75, No. 4, April 2005 This book can be recommended! --Biometrics
|
Ask a Question About this Product More... |
|
