Measuring agreement : models, methods, and applications

Presents Statistical Methodologies For Analyzing Common Types Of Data From Method Comparison Experiments And Illustrates Their Applications Through Detailed Case Studies Measuring Agreement: Models, Methods, And Applications Features Statistical Evaluation Of Agreement Between Two Or More Methods Of Measurement Of A Variable With A Primary Focus On Continuous Data. The Authors View The Analysis Of Method Comparison Data As A Two-step Procedure Where An Adequate Model For The Data Is Found, And Then Inferential Techniques Are Applied For Appropriate Functions Of Parameters Of The Model. The Presentation Is Accessible To A Wide Audience And Provides The Necessary Technical Details And References. In Addition, The Authors Present Chapter-length Explorations Of Data From Paired Measurements Designs, Repeated Measurements Designs, And Multiple Methods; Data With Covariates; And Heteroscedastic, Longitudinal, And Categorical Data. The Book Also: • Strikes A Balance Between Theory And Applications • Presents Parametric As Well As Nonparametric Methodologies • Provides A Concise Introduction To Cohen’s Kappa Coefficient And Other Measures Of Agreement For Binary And Categorical Data • Discusses Sample Size Determination For Trials On Measuring Agreement • Contains Real-world Case Studies And Exercises Throughout • Provides A Supplemental Website Containing The Related Datasets And R Code Measuring Agreement: Models, Methods, And Applications Is A Resource For Statisticians And Biostatisticians Engaged In Data Analysis, Consultancy, And Methodological Research. It Is A Reference For Clinical Chemists, Ecologists, And Biomedical And Other Scientists Who Deal With Development And Validation Of Measurement Methods. This Book Can Also Serve As A Graduate-level Text For Students In Statistics And Biostatistics.