Measurement of Agreement for Categorical Data

Measurement of Agreement for Categorical Data

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Description

Agreement among at least two evaluators is an issue of prime importance to statisticians, clinicians, epidemiologists, psychologists, and many other scientists. Measuring interobserver agreement is a method used to evaluate inconsistencies in findings from different evaluators who collect the same or similar information. Highlighting applications over theory, Measure of Interobserver Agreement provides a comprehensive survey of this method and includes standards and directions on how to run sound reliability and agreement studies in clinical settings and other types of investigations. The author clearly explains how to reduce measurement error, presents numerous practical examples of the interobserver agreement approach, and emphasizes measures of agreement among raters for categorical assessments. The models and methods are considered in two different but closely related contexts: 1) assessing agreement among several raters where the response variable is continuous and 2) where there is a prior decision by the investigators to use categorical scales to judge the subjects enrolled in the study. While the author thoroughly discusses the practical and theoretical issues of case 1, a major portion of this book is devoted to case 2. He explores issues such as two raters randomly judging a group of subjects, interrater bias and its connection to marginal homogeneity, and statistical issues in determining sample size.Statistical analysis of real and hypothetical datasets are presented to demonstrate the various applications of the models in repeatability and validation studies. To help with problem solving, the monograph includes SAS code, both within the book and on the CRC Web site. The author presents information with the right amount mathematical details, making this a cohesive book that reflects new research and the latest developments in the field.show more

Product details

  • Hardback | 168 pages
  • 166.6 x 241.3 x 15mm | 371.95g
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • 1 black & white illustrations, 44 black & white tables
  • 1584883219
  • 9781584883210
  • 2,410,029

Review quote

"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 2005show more

Table of contents

INTRODUCTION RELIABILITY FOR CONTINUOUS SCALE MEASUREMENTS Model for Reliability Studies Inference Procedures on the Index of Reliability for Case (1) Analysis of Method - Comparison Studies Comparing Reliability Coefficients MEASURES OF 2x2 ASSOCIATION AND AGREEMENT OF CROSS CLASSIFIED DATA Introduction Indices of Adjusted Agreement Cohen's Kappa =Chance Corrected Measure of Agreement Intraclass Kappa The 2x2 Kappa in the Context of Association Stratified Kappa Conceptual issues COEFFICIENTS OF AGREEMENT FOR MULTIPLE RATERS AND MULTIPLE CATEGORIES Introduction Multiple Categories and Two Raters Agreement for Multiple Raters and Dichotomous Classification Multiple Raters and Multiple Categories Testing the Homogeneity of Kappa Statistic from Independent Studies ASSESSING AGREEMENT FROM DEPENDENT Introduction Dependent Dichotomous Assessments Adjusting for Covariates Likelihood Based Approach Estimating Equations Approach Loglinear and Association Models Appendix I: Joint probability distribution of repeated dichotomous assessments Appendix II: Correlation between estimated kappas SAMPLE SIZE REQUIREMENTS FOR THE DESIGN OF RELIABILITY STUDY Introduction The Case of Continuous Measurements The Non-Normal Case Cost Implications The Case of Dichotomous Assessments Bibliographyshow more