Comparison of clinical data based on limits of agreement

Luís M. Grilo; Helena L. Grilo

Biometrical Letters (2012)

  • Volume: 49, Issue: 1, page 45-56
  • ISSN: 1896-3811

Abstract

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Two different medical measurement methods, which usually do not produce exactly the same results, are used to analyse the serum levels of folic acid in a blood sample. We assess the (dis)agreement of the available data in order to replace the old method (the reference method, which involves a lot of human intervention) with the new one (which uses mostly machines), without causing problems in clinical interpretation. The 95% limits of agreement are estimated, before and after a logarithmic transformation, and an appropriate use of regression and a nonparametric approach are also considered. The application of these different statistical techniques is very useful and easily interpreted by medical researchers, but the results obtained do not provide confidence that the new method can be used in place of the old one for clinical purposes.

How to cite

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Luís M. Grilo, and Helena L. Grilo. "Comparison of clinical data based on limits of agreement." Biometrical Letters 49.1 (2012): 45-56. <http://eudml.org/doc/268831>.

@article{LuísM2012,
abstract = {Two different medical measurement methods, which usually do not produce exactly the same results, are used to analyse the serum levels of folic acid in a blood sample. We assess the (dis)agreement of the available data in order to replace the old method (the reference method, which involves a lot of human intervention) with the new one (which uses mostly machines), without causing problems in clinical interpretation. The 95% limits of agreement are estimated, before and after a logarithmic transformation, and an appropriate use of regression and a nonparametric approach are also considered. The application of these different statistical techniques is very useful and easily interpreted by medical researchers, but the results obtained do not provide confidence that the new method can be used in place of the old one for clinical purposes.},
author = {Luís M. Grilo, Helena L. Grilo},
journal = {Biometrical Letters},
keywords = {Measurement methods; graphical techniques; logarithm transformation; regression approach; nonparametric approach},
language = {eng},
number = {1},
pages = {45-56},
title = {Comparison of clinical data based on limits of agreement},
url = {http://eudml.org/doc/268831},
volume = {49},
year = {2012},
}

TY - JOUR
AU - Luís M. Grilo
AU - Helena L. Grilo
TI - Comparison of clinical data based on limits of agreement
JO - Biometrical Letters
PY - 2012
VL - 49
IS - 1
SP - 45
EP - 56
AB - Two different medical measurement methods, which usually do not produce exactly the same results, are used to analyse the serum levels of folic acid in a blood sample. We assess the (dis)agreement of the available data in order to replace the old method (the reference method, which involves a lot of human intervention) with the new one (which uses mostly machines), without causing problems in clinical interpretation. The 95% limits of agreement are estimated, before and after a logarithmic transformation, and an appropriate use of regression and a nonparametric approach are also considered. The application of these different statistical techniques is very useful and easily interpreted by medical researchers, but the results obtained do not provide confidence that the new method can be used in place of the old one for clinical purposes.
LA - eng
KW - Measurement methods; graphical techniques; logarithm transformation; regression approach; nonparametric approach
UR - http://eudml.org/doc/268831
ER -

References

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  1. Altman D., Bland J. (1983): Measurement in medicine: the analysis of method comparison studies. Statistician 32: 307-17. 
  2. Bland J., Altman D. (2007): Agreement Between Methods of Measurement with Multiple Observations Per Individual. Journal of Biopharmaceutical Statistics 17: 571-582.[WoS] 
  3. Bland J., Altman D. (2003): Applying the Right Statistics: Analyses of Measurement Studies. Ultrasound in Obstetrics and Gynecology 22: 85-93. 
  4. Bland J., Altman D. (1999): Measuring agreement in method comparison Studies. Statistical Methods in Medical Research 8: 135-160. 
  5. Bland J., Altman D. (1986): Statistical methods for assessing agreement between two methods of clinical measurement. The Lancet: 307-310.[PubMed] 
  6. Carstensen B., Simpson J., Gurrin L. (2008): Statistical Models for Assessing Agreement in Method Comparison Studies with Replicate Measurements. The International Journal of Biostatistics 4(1): Article 16.[Crossref] 
  7. Choudhary P.K., Tony-NG H.K. (2006): Assessment of Agreement under Nonstandard Conditions Using Regression Models for Mean and Variance. Biometrics 62: 288-296. Zbl1091.62112

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