Comparing clinical measurement methods : a practical guide /

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"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Carstensen, Bendix
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex : John Wiley & Sons, 2010.
Colección:Statistics in practice.
Temas:
Clinical trials > Evaluation.
Clinical trials > Statistical methods.
Clinical medicine.
Case-control method.
Regression analysis.
Clinical Medicine
Case-Control Studies
Models, Statistical
Regression Analysis
Statistics as Topic > methods
Études cliniques > Évaluation.
Études cliniques > Méthodes statistiques.
Médecine clinique.
Études cas-témoins.
Analyse de régression.
MEDICAL > Laboratory Medicine.
Regression analysis
Clinical medicine
Case-control method
Clinical trials > Evaluation
Clinical trials > Statistical methods
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction
  • 2. Method comparisons
  • 3. How to ...
  • 4. Two methods with a single measurement on each
  • 5. Replicate measurements
  • 6. Several methods of measurement
  • 7. A general model for method comparisons
  • 8. Transformation of measurements
  • 9. Repeatability, reproducibility and coefficient of variation
  • 10. Measures of association and agreement
  • 11. Design of method comparison studies
  • 12. Examples using standard software
  • 13. The MethComp package for R
  • 14. References
  • 15. Index
  • 16. Statistics in practice.
  • (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.
  • 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.

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