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2013, Number 1

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RCAN 2013; 23 (1)

El problema de la comparación de métodos. El caso de los errores proporcionales e iguales

Santana PS
Full text How to cite this article

Language: Spanish
References: 10
Page: 179-192
PDF size: 531.72 Kb.


Key words:

methods comparison, ordinary least-squares regression, deming regression, Passing-Bablok regression, statistical simulation.

ABSTRACT

The performance of the ordinary least-squares regression, the Passing-Bablok regression, and the Deming regression with the Α coefficient adjusted to the unity, or estimated from the within-replicates variances, as solutions of the methods comparison problem, was assessed by means of statistical-mathematical simulation techniques for the case of proportional but equal analytical errors. Ordinary least-squares regression returned biased estimates of the slope of the methods comparison straight line, along with an elevated rejection factor of the null hypothesis Ho: β = 1. It is likely Deming regression to be sensitive to the dependence of analytical imprecision regarding the level of concentration of the analyte. Use of Passing-Bablok regression should be promoted as an acceptable solution (although not an adequate one) of the methods comparison problem through its inclusion into the available statistical management packages. Santana Porbén S. The problem of methods comparison. Proportional and equal errors.


REFERENCES

  1. Delgado Ramos A, Ramos Salazar R, Martínez Canalejo H, Santana Porbén S. Procederes de regresión lineal como soluciones al problema de la comparación de métodos. I. Errores analíticos constantes e iguales. RCAN Rev Cubana Aliment Nutr 2010;20:191-67. Reimpreso de: Contacto Químico [Michoacán] 2007;2(6):21-3.

  2. Ramos Salazar R, Delgado Ramos A, Martínez Canalejo H, Santana Porbén S. Procederes de regresión lineal como soluciones al problema de la comparación de métodos. II. Errores analíticos constantes pero diferentes. Rev Cubana Aliment Nutr 2010;20:338-50. Reimpreso de: Rev Mex Patol Clín 2001;48:223-32.

  3. Currie LA, Filliben JJ, Devoe JR. Statistical and mathematical methods in analytical chemistry. Anal Chem 1972;44:497-512.

  4. García Campaña AM, Bosque Sendra JM, Rodríguez LC, López EA. A framework for in-house accuracy validation of analytical procedures. Biomed Chromatogr 2000;14:27-9.

  5. Vogt FG, Kord AS. Development of quality-by-design analytical methods. J Pharm Sci 2011;100:797-812.

  6. Santana Porbén S, Martínez Canalejo H. Manual de Procedimientos Bioestadísticos. Segunda Edición. EAE Editorial Académica Española. ISBN-13: 9783659059629. ISBN-10: 3659059625. Madrid: 2012.

  7. Draper NR, Smith H. Applied regression analysis. John Wiley & Sons. New York: 1966. pp 44-103.

  8. Deming WE. Statistical adjustment of data. John Wiley & Sons. New York: 1943. pp 184.

  9. MacTaggart DL, Farwell SO. Analytical use of linear regression. Part I: Statistical errors in both variables. J AOAC International 1992;75:608-14.

  10. Passing H, Bablok W. A new biometrical procedure for testing the equality of measurements from two different analytical methods. Aplication of linear regression procedures for method comparison studies in Clinical Chemistry. Part I. J Clin Chem Clin Biochem 1983;21:709-20.




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C?MO CITAR (Vancouver)

RCAN. 2013;23