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Measures of Interobserver Agreement and Reliability
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Measures of Interobserver Agreement and Reliability

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商品簡介

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.

作者簡介

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.

目次

General Introduction ReviewProbability and Its Application in Medical Research
Reliability for Continuous Scale MeasurementsIntroduction Models for Reliability StudiesTesting the Equality of Two Independent ICCs Testing the Equality of Two Dependent ICCsLarge Sample Confidence Interval on ρ2Raters Agreement for Continuous Scale Measurements Estimating Agreement When Gold Standard Is Present Several Faulty Methods and a Gold Standard Sample Size Requirements for the Design of Reliability Study under One-Way ANOVASample Size for Case 2 Estimation of ICC from Two-Way Random Effects Model with Replicated Measurements
Method-Comparison Studies Introduction Literature Review Bland and Altman’s ApproachBradley–Blackwood Procedure Regression Methods for Methods-ComparisonCorrelated Measurement Errors Assessing Agreement in Methods-Comparison Studies with Replicate MeasurementsDiscussion
Population Coefficient of Variation as a Measure of Precision and Reproducibility Introduction Inference from Single Normal Sample Coefficient of Variation from the Gamma Distribution Tests for Equality of Coefficients of VariationStatistical Inference on Coefficient of Variation under the One-Way Random Effects Model Maximum Likelihood Estimation Variance Stabilizing Transformation Estimating the WSCV When the Error Variance Is Not Common Sample Size EstimationAnalysis of WSCF from Two Dependent Samples
Measures of Agreement for Dichotomous Outcomes Introduction Indices of Adjusted AgreementCohen’s Kappa: Chance Corrected Measure of AgreementIntraclass Kappa The 2 × 2 Kappa in the Context of Association Stratified Kappa Conceptual Issues Sample Size RequirementsDependent Dichotomous AssessmentsAdjusting for CovariatesSimultaneous Assessment of Two Binary Traits by Two Raters
Coefficients of Agreement for Multiple Rates and Multiple CategoriesIntroduction Multiple Categories and Two RatersAgreement for Multiple Raters and Dichotomous ClassificationProbability ModelsMultiple Raters and Multiple CategoriesTesting the Homogeneity of Kappa Statistic from Independent Studies
References
Index
Exercises appear at the end of each chapter.

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