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Measures of Interobserver Agreement and Reliability, Second Edition
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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 Review Probability and Its Application in Medical Research Reliability for Continuous Scale Measurements Introduction Models for Reliability Studies Testing the Equality of Two Independent ICCs Testing the Equality of Two Dependent ICCs Large Sample Confidence Interval on I 2 Raters 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 ANOVA Sample 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 Approach Bradley-Blackwood Procedure Regression Methods for Methods-Comparison Correlated Measurement Errors Assessing Agreement in Methods-Comparison Studies with Replicate Measurements Discussion 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 Variation Statistical 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 Estimation Analysis of WSCF from Two Dependent Samples Measures of Agreement for Dichotomous Outcomes Introduction Indices of Adjusted Agreement Cohen's Kappa: Chance Corrected Measure of Agreement Intraclass Kappa The 2 A - 2 Kappa in the Context of Association Stratified Kappa Conceptual Issues Sample Size Requirements Dependent Dichotomous Assessments Adjusting for Covariates Simultaneous Assessment of Two Binary Traits by Two Raters Coefficients of Agreement for Multiple Rates and Multiple Categories Introduction Multiple Categories and Two Raters Agreement for Multiple Raters and Dichotomous Classification Probability Models Multiple Raters and Multiple Categories Testing the Homogeneity of Kappa Statistic from Independent Studies References Index Exercises appear at the end of each chapter.


ISBN-13: 9781439810811
Publisher: Taylor & Francis (CRC Press Inc)
Publication date: December, 2010
Pages: 291