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Year 2023, Volume: 07 Issue: 2, 10 - 16, 23.12.2023
https://doi.org/10.34110/forecasting.1367369

Abstract

References

  • J.M. Bland, D.G. Altman, Measuring Agreement in Method Comparison Studies, Statistical methods in medical research, 8-2 (1999) 135-160. Doi: 10.1177/096228029900800204.
  • D.G. Altman, J.M. Bland, Measurement in medicine: the analysis of method comparison studies, Statistician, 32 (1983) 307-17. Doi: 10.2307/2987937.
  • R.B. Payne, Method comparison: evaluation of least squares, Deming and Passing/Bablok regression procedures using computer simulation, Annals of clinical biochemistry, 34-3 (1997) 319-320.
  • S. Hollis, Analysis of method comparison studies, Ann Clin Biochem, 33 (1996) 1-4.
  • B. Mayer, W. Gaus, U. Braisch, The fallacy of the Passing-Bablok-regression, Jokull, 66-6 (2016) 95-106.
  • H. Passing, W. Bablok, A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I, J Clin Chem Clin Biochem, 21 (1983) 709-20.
  • H. Passing, W. Bablok, Comparison of several regression procedures for method comparison studies and determination of sample sizes application of linear regression procedures for method comparison studies in clinical chemistry, part II, J Clin Chem Clin Biochem, 22 (1984) 431–445.
  • K. Linnet, Evaluation of regression procedures for methods comparison studies, Clinical chemistry, 39-3 (1993) 424-432.
  • W. Bablok, H. Passing, R. Bender, B. Schneider, A general regression procedure for method transformation, Application of linear regression procedures for method comparison studies in clinical chemistry, Part III, J Clin Chem Clin Biochem, 26 (1988) 783 – 90.
  • W. Bablok, H. Passing, Application of statistical procedures in analytical instrument testing, Journal of Analytical Methods in Chemistry, 7 (1985) 74-79.
  • J.W. Tukey, Exploratory Data Analysis, Addison-Wesley pb, (1977).
  • D. Giavarina, Understanding Bland Altman analysis, Biochemia medica, 25-2 (2015) 141-151. Doi: 10.11613/BM.2015.015.
  • R. Wicklin, Passing-Bablok regression in SAS, SAS Blogs, (2022) https://blogs.sas.com/content/iml/2022/02/14/passing-bablok-regression-sas.html [Date of Access: 26.03.2023]
  • J.L. Hintze, Passing-Bablok regression for method comparison, NCSS Statistical software (2020) https://www.ncss.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Passing-Bablok_Regression_for_Method_Comparison.pdf [Date of Access: 20.03.2023]
  • C. Zaiontz, Real Statistics Using Excel (2020a) https://real-statistics.com/regression/passing-bablok-regression/passing-bablok-regression-basic-concepts/ [Date of Access: 20.03.2023]
  • C. Zaiontz, Passing-Bablok Regression Basic Concepts, Real Statistics Using Excel (2020b) https://real-statistics.com/regression/passing-bablok-regression/passing-bablok-regression-basic-concepts/ [Date of Access: 20.03.2023]

Revised Passing-Bablok Regression Method for Model Comparison

Year 2023, Volume: 07 Issue: 2, 10 - 16, 23.12.2023
https://doi.org/10.34110/forecasting.1367369

Abstract

Type-II regression models are used to compare more than one method that makes the same measurement. The Passing-Bablok regression method, which is one of them, is non-parametric and can yield more successful results than other comparison methods, particularly when there are outliers. In this study, innovations in the calculation of the slope and intercept parameters used in the traditional Passing-Bablok method are proposed. Instead of the median parameter used in the classical model, the use of the trimean parameter is suggested, and the model parameter estimates are adjusted accordingly. The proposed model and classical model predictions were compared on 15 different datasets, eight of which were simulations. It was determined that the proposed model calculations contained fewer errors than the results of the classical method.

References

  • J.M. Bland, D.G. Altman, Measuring Agreement in Method Comparison Studies, Statistical methods in medical research, 8-2 (1999) 135-160. Doi: 10.1177/096228029900800204.
  • D.G. Altman, J.M. Bland, Measurement in medicine: the analysis of method comparison studies, Statistician, 32 (1983) 307-17. Doi: 10.2307/2987937.
  • R.B. Payne, Method comparison: evaluation of least squares, Deming and Passing/Bablok regression procedures using computer simulation, Annals of clinical biochemistry, 34-3 (1997) 319-320.
  • S. Hollis, Analysis of method comparison studies, Ann Clin Biochem, 33 (1996) 1-4.
  • B. Mayer, W. Gaus, U. Braisch, The fallacy of the Passing-Bablok-regression, Jokull, 66-6 (2016) 95-106.
  • H. Passing, W. Bablok, A new biometrical procedure for testing the equality of measurements from two different analytical methods. Application of linear regression procedures for method comparison studies in clinical chemistry, Part I, J Clin Chem Clin Biochem, 21 (1983) 709-20.
  • H. Passing, W. Bablok, Comparison of several regression procedures for method comparison studies and determination of sample sizes application of linear regression procedures for method comparison studies in clinical chemistry, part II, J Clin Chem Clin Biochem, 22 (1984) 431–445.
  • K. Linnet, Evaluation of regression procedures for methods comparison studies, Clinical chemistry, 39-3 (1993) 424-432.
  • W. Bablok, H. Passing, R. Bender, B. Schneider, A general regression procedure for method transformation, Application of linear regression procedures for method comparison studies in clinical chemistry, Part III, J Clin Chem Clin Biochem, 26 (1988) 783 – 90.
  • W. Bablok, H. Passing, Application of statistical procedures in analytical instrument testing, Journal of Analytical Methods in Chemistry, 7 (1985) 74-79.
  • J.W. Tukey, Exploratory Data Analysis, Addison-Wesley pb, (1977).
  • D. Giavarina, Understanding Bland Altman analysis, Biochemia medica, 25-2 (2015) 141-151. Doi: 10.11613/BM.2015.015.
  • R. Wicklin, Passing-Bablok regression in SAS, SAS Blogs, (2022) https://blogs.sas.com/content/iml/2022/02/14/passing-bablok-regression-sas.html [Date of Access: 26.03.2023]
  • J.L. Hintze, Passing-Bablok regression for method comparison, NCSS Statistical software (2020) https://www.ncss.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Passing-Bablok_Regression_for_Method_Comparison.pdf [Date of Access: 20.03.2023]
  • C. Zaiontz, Real Statistics Using Excel (2020a) https://real-statistics.com/regression/passing-bablok-regression/passing-bablok-regression-basic-concepts/ [Date of Access: 20.03.2023]
  • C. Zaiontz, Passing-Bablok Regression Basic Concepts, Real Statistics Using Excel (2020b) https://real-statistics.com/regression/passing-bablok-regression/passing-bablok-regression-basic-concepts/ [Date of Access: 20.03.2023]
There are 16 citations in total.

Details

Primary Language English
Subjects Econometric and Statistical Methods, Statistical Analysis
Journal Section Articles
Authors

Necati Alp Erilli 0000-0001-6948-0880

Early Pub Date December 18, 2023
Publication Date December 23, 2023
Submission Date September 27, 2023
Acceptance Date November 26, 2023
Published in Issue Year 2023 Volume: 07 Issue: 2

Cite

APA Erilli, N. A. (2023). Revised Passing-Bablok Regression Method for Model Comparison. Turkish Journal of Forecasting, 07(2), 10-16. https://doi.org/10.34110/forecasting.1367369
AMA Erilli NA. Revised Passing-Bablok Regression Method for Model Comparison. TJF. December 2023;07(2):10-16. doi:10.34110/forecasting.1367369
Chicago Erilli, Necati Alp. “Revised Passing-Bablok Regression Method for Model Comparison”. Turkish Journal of Forecasting 07, no. 2 (December 2023): 10-16. https://doi.org/10.34110/forecasting.1367369.
EndNote Erilli NA (December 1, 2023) Revised Passing-Bablok Regression Method for Model Comparison. Turkish Journal of Forecasting 07 2 10–16.
IEEE N. A. Erilli, “Revised Passing-Bablok Regression Method for Model Comparison”, TJF, vol. 07, no. 2, pp. 10–16, 2023, doi: 10.34110/forecasting.1367369.
ISNAD Erilli, Necati Alp. “Revised Passing-Bablok Regression Method for Model Comparison”. Turkish Journal of Forecasting 07/2 (December 2023), 10-16. https://doi.org/10.34110/forecasting.1367369.
JAMA Erilli NA. Revised Passing-Bablok Regression Method for Model Comparison. TJF. 2023;07:10–16.
MLA Erilli, Necati Alp. “Revised Passing-Bablok Regression Method for Model Comparison”. Turkish Journal of Forecasting, vol. 07, no. 2, 2023, pp. 10-16, doi:10.34110/forecasting.1367369.
Vancouver Erilli NA. Revised Passing-Bablok Regression Method for Model Comparison. TJF. 2023;07(2):10-6.

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