Comparing Clinical Measurement Methods: A Practical Guide [NOOK Book]

Overview

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 ...
See more details below
Comparing Clinical Measurement Methods: A Practical Guide

Available on NOOK devices and apps  
  • NOOK Devices
  • Samsung Galaxy Tab 4 NOOK 7.0
  • Samsung Galaxy Tab 4 NOOK 10.1
  • NOOK HD Tablet
  • NOOK HD+ Tablet
  • NOOK eReaders
  • NOOK Color
  • NOOK Tablet
  • Tablet/Phone
  • NOOK for Windows 8 Tablet
  • NOOK for iOS
  • NOOK for Android
  • NOOK Kids for iPad
  • PC/Mac
  • NOOK for Windows 8
  • NOOK for PC
  • NOOK for Mac
  • NOOK for Web

Want a NOOK? Explore Now

NOOK Book (eBook)
$55.49
BN.com price
(Save 42%)$97.00 List Price
Note: This NOOK Book can be purchased in bulk. Please email us for more information.

Overview

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.

Read More Show Less

Editorial Reviews

From the Publisher
"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)

Read More Show Less

Product Details

  • ISBN-13: 9781119957546
  • Publisher: Wiley, John & Sons, Incorporated
  • Publication date: 6/24/2011
  • Series: Statistics in Practice , #108
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 172
  • File size: 5 MB

Table of Contents

Acknowledgments.

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 use 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…

3.1 …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 transformation.

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.

8.4 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 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.

References.

Index.

Read More Show Less

Customer Reviews

Be the first to write a review
( 0 )
Rating Distribution

5 Star

(0)

4 Star

(0)

3 Star

(0)

2 Star

(0)

1 Star

(0)

Your Rating:

Your Name: Create a Pen Name or

Barnes & Noble.com Review Rules

Our reader reviews allow you to share your comments on titles you liked, or didn't, with others. By submitting an online review, you are representing to Barnes & Noble.com that all information contained in your review is original and accurate in all respects, and that the submission of such content by you and the posting of such content by Barnes & Noble.com does not and will not violate the rights of any third party. Please follow the rules below to help ensure that your review can be posted.

Reviews by Our Customers Under the Age of 13

We highly value and respect everyone's opinion concerning the titles we offer. However, we cannot allow persons under the age of 13 to have accounts at BN.com or to post customer reviews. Please see our Terms of Use for more details.

What to exclude from your review:

Please do not write about reviews, commentary, or information posted on the product page. If you see any errors in the information on the product page, please send us an email.

Reviews should not contain any of the following:

  • - HTML tags, profanity, obscenities, vulgarities, or comments that defame anyone
  • - Time-sensitive information such as tour dates, signings, lectures, etc.
  • - Single-word reviews. Other people will read your review to discover why you liked or didn't like the title. Be descriptive.
  • - Comments focusing on the author or that may ruin the ending for others
  • - Phone numbers, addresses, URLs
  • - Pricing and availability information or alternative ordering information
  • - Advertisements or commercial solicitation

Reminder:

  • - By submitting a review, you grant to Barnes & Noble.com and its sublicensees the royalty-free, perpetual, irrevocable right and license to use the review in accordance with the Barnes & Noble.com Terms of Use.
  • - Barnes & Noble.com reserves the right not to post any review -- particularly those that do not follow the terms and conditions of these Rules. Barnes & Noble.com also reserves the right to remove any review at any time without notice.
  • - See Terms of Use for other conditions and disclaimers.
Search for Products You'd Like to Recommend

Recommend other products that relate to your review. Just search for them below and share!

Create a Pen Name

Your Pen Name is your unique identity on BN.com. It will appear on the reviews you write and other website activities. Your Pen Name cannot be edited, changed or deleted once submitted.

 
Your Pen Name can be any combination of alphanumeric characters (plus - and _), and must be at least two characters long.

Continue Anonymously

    If you find inappropriate content, please report it to Barnes & Noble
    Why is this product inappropriate?
    Comments (optional)