Comparing Clinical Measurement Methods: A Practical Guide

✍ Scribed by Bendix Carstensen(auth.)

• Year: 2010
• Tongue: English
• Leaves: 166
• Category: Library

✦ Synopsis

This book provides a practical guide to analysis of simple and complex method comparison data, using Stata, SAS and R. 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.

• 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.
• Examples in SAS and Stata for the most common situations are also provided.
• Written by an acknowledged expert on the subject, with a long standing experience as a biostatistician in a clinical environment and a track record of delivering training on the subject.

Biostatisticians, clinicians, medical researchers and practitioners involved in research and analysis of measurement methods and laboratory investigations will benefit from this book. Students of statistics, biostatistics, and the chemical sciences will also find this book useful.Content:
Chapter 1 Introduction (pages 1–3):
Chapter 2 Method Comparisons (pages 5–15):
Chapter 3 Howto… (pages 17–20):
Chapter 4 Two Methods with a Single Measurement on Each (pages 21–47):
Chapter 5 Replicate Measurements (pages 49–65):
Chapter 6 Several Methods of Measurement (pages 67–69):
Chapter 7 A General Model for Method Comparisons (pages 71–97):
Chapter 8 Transformation of Measurements (pages 99–106):
Chapter 9 Repeatability, Reproducibility and Coefficient of Variation (pages 107–114):
Chapter 10 Measures of Association and Agreement (pages 115–126):
Chapter 11 Design of Method Comparison Studies (pages 127–131):
Chapter 12 Examples Using Standard Software (pages 133–147):
Chapter 13 The MethComp Package for R (pages 149–152):