„This book presents useful information about the complexities of method comparison studies specific to clinical/biomedical research. . . I would consider using it in a course intended for students seeking advanced degrees in biostatistics and epidemiology.“ (Doody's, 16 September 2011)
„In conclusion, this book provides a statistical modeling approach to the comparison of clinical measurements. The modeling aspects will be particularly appreciated by researchers and others mathematically sophisticated, while the computer code at the end of the book will be useful for practitioners wishing to implement the methods.“ (Journal of Biopharmaceutical Statistics, January 2011)
This book provides a practical guide to analysis of simple andcomplex method comparison data, using Stata, SAS and R. It takesthe classical Limits of Agreement as a starting point, and presentsit in a proper statistical framework. The model serves as areference for reporting sources of variation and for providingconversion equations and plots between methods for practical use, including prediction uncertainty.
* Presents a modeling framework for analysis of data andreporting of results from comparing measurements from differentclinical centers and/or different methods.
* Provides the practical tools for analyzing method comparisonstudies along with guidance on what to report and how to plancomparison studies and advice on appropriate software.
* Illustrated throughout with computer examples in R.
* Supported by a supplementary website hosting an R-package thatperforms the major part of the analyses needed in the area.
* Examples in SAS and Stata for the most common situations arealso provided.
* Written by an acknowledged expert on the subject, with a longstanding experience as a biostatistician in a clinical environmentand a track record of delivering training on the subject.
Biostatisticians, clinicians, medical researchers andpractitioners involved in research and analysis of measurementmethods and laboratory investigations will benefit from this book. Students of statistics, biostatistics, and the chemical scienceswill also find this book useful.
* Presents a modeling framework for analysis of data andreporting of results from comparing measurements from differentclinical centers and/or different methods.
* Provides the practical tools for analyzing method comparisonstudies along with guidance on what to report and how to plancomparison studies and advice on appropriate software.
* Illustrated throughout with computer examples in R.
* Supported by a supplementary website hosting an R-package thatperforms the major part of the analyses needed in the area.
* Examples in SAS and Stata for the most common situations arealso provided.
* Written by an acknowledged expert on the subject, with a longstanding experience as a biostatistician in a clinical environmentand a track record of delivering training on the subject.
Biostatisticians, clinicians, medical researchers andpractitioners involved in research and analysis of measurementmethods and laboratory investigations will benefit from this book. Students of statistics, biostatistics, and the chemical scienceswill also find this book useful.
