Statistics Second Edition Measures of Interobserver Agreement and Reliability, Second Edition covers important issues related to the design and analysis Measures of of reliability and agreement studies. It examines factors affecting the A M degree of measurement errors in reliability generalization studies and g e Interobserver characteristics influencing the process of diagnosing each subject in r a e s a reliability study. The book also illustrates the importance of blinding e u and random selection of subjects. m r Agreement e e New to the Second Edition s n and Reliability • New chapter that describes various models for methods t o comparison studies a f • New chapter on the analysis of reproducibility using the within- n In Second Edition d subjects coefficient of variation t e • Emphasis on the definition of the subjects’ and raters’ R r population as well as sample size determination e o l b i With applications in medical research and clinical epidemiology, this a s b e edition continues to offer guidance on how to run sound reliability and i r agreement studies in clinical settings and other types of investigations. l v i t e The author discusses sample size requirements extensively in every y r chapter. He also 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. S h o u k r i Mohamed M. Shoukri K10539 K10539_Cover.indd 1 11/11/10 8:52 AM This Page Intentionally Left Blank Measures of Interobserver Agreement and Reliability Second Edition Editor-in-Chief Shein-Chung Chow, Ph.D. Professor Department of Biostatistics and Bioinformatics Duke University School of Medicine Durham, North Carolina Series Editors Byron Jones Jen-pei Liu Senior Director Professor Statistical Research and Consulting Centre Division of Biometry (IPC 193) Department of Agronomy Pfizer Global Research and Development National Taiwan University Sandwich, Kent, U.K. Taipei, Taiwan Karl E. Peace Bruce W. Turnbull Georgia Cancer Coalition Professor Distinguished Cancer Scholar School of Operations Research Senior Research Scientist and and Industrial Engineering Professor of Biostatistics Cornell University Jiann-Ping Hsu College of Public Health Ithaca, New York Georgia Southern University Statesboro, Georgia Adaptive Design Theory and Implementation DNA Microarrays and Related Genomics Using SAS and R, Mark Chang Techniques: Design, Analysis, and Interpretation of Experiments, David B. Allsion, Grier P. Page, Advances in Clinical Trial Biostatistics, T. Mark Beasley, and Jode W. Edwards Nancy L. Geller Elementary Bayesian Biostatistics, Applied Statistical Design for the Researcher, Lemuel A. Moyé Daryl S. Paulson Frailty Models in Survival Analysis, Basic Statistics and Pharmaceutical Statistical Andreas Wienke Applications, Second Edition, James E. De Muth Handbook of Regression and Modeling: Bayesian Adaptive Methods for Clinical Trials, Applications for the Clinical and Pharmaceutical Scott M. Berry, Bradley P. Carlin, J. Jack Lee, Industries, Daryl S. Paulson and Peter Muller Measures of Interobserver Agreement and Bayesian Methods for Measures of Agreement, Reliability, Second Edition, Lyle D. Broemeling Mohamed M. Shoukri Bayesian Missing Data Problems: EM, Data Medical Biostatistics, Second Edition, Augmentation and Noniterative Computation, A. Indrayan Ming T. Tan, Guo-Liang Tian, and Kai Wang Ng Meta-Analysis in Medicine and Health Policy, Bayesian Modeling in Bioinformatics, Dalene Generalized Linear Models: A Bayesian Dipak K. Dey, Samiran Ghosh, and Bani K. Mallick Perspective, Dipak K. Dey, Sujit K. Ghosh, and Causal Analysis in Biomedicine and Bani K. Mallick Epidemiology: Based on Minimal Sufficient Monte Carlo Simulation for the Pharmaceutical Causation, Mikel Aickin Industry: Concepts, Algorithms, and Case Clinical Trial Methodology, Karl E. Peace and Studies, Mark Chang Ding-Geng (Din) Chen Multiple Testing Problems in Pharmaceutical Computational Methods in Biomedical Research, Statistics, Alex Dmitrienko, Ajit C. Tamhane, Ravindra Khattree and Dayanand N. Naik and Frank Bretz Computational Pharmacokinetics, Anders Källén Sample Size Calculations in Clinical Research, Data and Safety Monitoring Committees in Second Edition, Shein-Chung Chow, Jun Shao, Clinical Trials, Jay Herson and Hansheng Wang Design and Analysis of Animal Studies in Statistical Design and Analysis of Stability Pharmaceutical Development, Studies, Shein-Chung Chow Shein-Chung Chow and Jen-pei Liu Statistical Methods for Clinical Trials, Design and Analysis of Bioavailability and Mark X. Norleans Bioequivalence Studies, Third Edition, Statistics in Drug Research: Methodologies and Shein-Chung Chow and Jen-pei Liu Recent Developments, Shein-Chung Chow and Design and Analysis of Clinical Trials with Time- Jun Shao to-Event Endpoints, Karl E. Peace Statistics in the Pharmaceutical Industry, Third Difference Equations with Public Health Edition, Ralph Buncher and Jia-Yeong Tsay Applications, Lemuel A. Moyé and Translational Medicine: Strategies and Asha Seth Kapadia Statistical Methods, Dennis Cosmatos and DNA Methylation Microarrays: Experimental Shein-Chung Chow Design and Statistical Analysis, Sun-Chong Wang and Arturas Petronis Measures of Interobserver Agreement and Reliability Second Edition Mohamed M. Shoukri King Faisal Specialist Hospital & Research Center Riyadh, Saudi Arabia Department of Epidemiology and Biostatistics Schulich School of Medicine and Dentistry University of Western Ontario London, Ontario, Canada MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exer- cises in this book. This book’s use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. 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