Comparing clinical measurement methods
Subtitle: a practical guide
By: Bendix Carstensen
Publisher: John Wiley & Sons
Published: 2010
Place of publication: Chichester, West Sussex
Language: eng
Number of pages: 157
ISBN-13: 9780470694237
Subjects: Statistical methods; Clinical Medicine; Case-Control Studies; Clinical trials; Regression Analysis; Statistics as Topic; Statistical Models; Evaluation; Methods
Description: "This book sets out to provide an example-based, 'how-to' guide to the comparison of measurement methods in a clinical context. Whilst much material has been published on obtaining and comparing accurate measurements in medical research this will be the first book length treatment of the subject. The author draws upon his experience in multicentre clinical studies to present data and examples drawn from real case studies. The book will be supplemented by a website hosting datasets and programs to allow the reader to reproduce all of the analyses"--Provided by publisher.
Notes: Includes bibliographical references and index.
Table of contents: title: (Publisher-supplied data) 1 Introduction   2 Method comparisons   2.1 One measurement by each method 2.1.1 Prediction of one method from another  2.1.2 Why not the correlation? 2.1.3 A new method and a reference method 2.2 Replicate measurements by each method  2.2.1 Exchangeable replicates: fat data  2.2.2 Linked replicates: Oximetry data 2.2.3 Why not use the averages of the replicates?  2.3 More than two methods  2.4 Terminology and notation 2.5 What it is all about  3 How to use this chapter  3.2 Two methods 3.2.1 Single measurements  3.2.2 Comparing with a gold standard 3.2.3 Replicate measurements  3.3 More than two methods   3.3.1 Single measurements 3.3.2 Replicate measurements 4 Two methods with a single measurement on each   4.1 Model for limits of agreement  4.1.1 Prediction between methods 4.1.2 The correlation of the difference and the average   4.2 Non-constant difference between methods  4.3 A worked example   4.4 What really goes on 4.4.1 Scaling 4.4.2 Independence 4.4.3 Actual behavior  4.5 Other regression methods for non-constant bias 4.5.1 Why ordinary regression fails  4.5.2 Deming regression 4.6 Comparison with a gold standard   4.7 Non-constant variance    4.7.1 Regression approach  4.7.2 A worked example 4.8 Transformations 4.8.1 Log-transform 4.9 Summary 5 Replicate measurements   5.1 Pairing of replicate measurements  5.1.1 Exchangeable replicates  5.1.2 Linked replicates 5.2 Plotting replicate measurements 5.3 Models for replicate measurements 5.3.1 Exchangeable replicates  5.3.2 Linked replicates  5.4 Interpretation of the random effects 5.5 Estimation  5.6 Getting it wrong and getting it almost right  5.6.1 Averaging over replicates  5.6.2 Replicates as items 5.7 Summary 6 Several methods of measurement   6.1 Model   6.2 Replicate measurements  6.3 Single measurement by each method; title: 7 A general model for method comparisons   7.1 Scaling 7.2 Interpretation of the random effects 7.3 Parametrization of the mean 7.4 Prediction limits  7.4.1 Mean of replicates  7.4.2 Plotting predictions between methods 7.4.3 Reporting variance components 7.4.4 Comparison with a gold standard  7.5 Estimation  7.5.1 Alternating regressions  7.5.2 Estimation using BUGS  7.5.3 A worked example 7.6 Models with non-constant variance  7.6.1 Linear dependence of residual standard error  7.7 Summary 8 Transformation of measurements 8.1 Log-transformation 8.2 Transformations of percentages 8.2.1 A worked example  8.2.2 Implementation in MethComp  8.3 Other transformations  8.3.1 Different transformations for different methods  8.4 Several methods  8.5 Variance components  8.6 Summary 9 Repeatability, reproducibility and coefficient of variation   9.1 Repeatability   9.2 Reproducibility  9.3 Coefficient of variation  9.3.1 Symmetric interval on the log-scale  9.3.2 Computing the CV correctly 9.3.3 Transformations 10 Measures of association and agreement   10.1 IBC individual bioequivalence criterion 10.2 Agreement index  10.3 Relative variance index 10.4 Total deviation index  10.5 Correlation measures 10.5.1 Correlation coefficient  10.5.2 Intraclass correlation coefficient  10.5.3 Concordance correlation coefficient  10.6 Summary  11 Design of method comparison studies   11.1 Sample size  11.1.1 Mean parameters  11.1.2 Variance parameters  11.2 Repeated measures designs 11.3 Summary  12 Examples using standard software   12.1 SAS  12.1.1 Exchangeable replicates  12.1.2 Linked replicates 12.2 Stata  12.2.1 Exchangeable replicates  12.2.2 Linked replicates 12.3 R  12.3.1 Exchangeable replicates  12.3.2 Linked replicates 13 The MethComp package for R   13.1 Data structures  13.2 Function overview 13.2.1 Graphical functions  13.2.2 Data manipulating functions 13.2.3 Analysis functions  13.2.4 Reporting functions.