Comparing Clinical Measurement Methods: A Practical Guide

This book provides a practical guide to analysis of simple and complex method comparison data. It takes the classical Limits of Agreement as a starting point, and presents it in a proper statistical framework. The model serves as a reference for reporting sources of variation and for providing conversion equations and plots between methods for practical use, including prediction uncertainty.

Key features: 

• Presents a modeling framework for analysis of data and reporting of results from comparing measurements from different clinical centers and/or different methods.
• Provides the practical tools for analyzing method comparison studies along with guidance on what to report and how to plan comparison studies and advice on appropriate software.
• Illustrated throughout with computer examples in R.
• Supported by a supplementary website hosting an R-package that performs the major part of the analyses needed in the area.
• Includes examples in SAS and Stata for the most common situations.

Written by an acknowledged expert on the subject, with long standing experience as a biostatistician in a clinical environment and a track record of delivering training on the subject, this book will benefit biostatisticians, clinicians, medical researchers and practitioners involved in research and analysis of measurement methods and laboratory investigations. Students of statistics, biostatistics, and the chemical sciences will also find it useful.