SARBU Costel and JÄNTSCHI Lorentz (1998) Statistic Validation and Evaluation of Analytical Methods by Comparative Studies. I. Validation of Analytical Methods using Regression Analysis

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Statistic Validation and Evaluation of Analytical Methods by Comparative Studies. I. Validation of Analytical Methods using Regression Analysis

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CONTRIBUTORS:

	Author:	SARBU Costel
	Author:	JÄNTSCHI Lorentz (Technical University of Cluj-Napoca)

JOURNAL:

Revista de Chimie, 49(1), 19 - 24.

YEAR:

1998

PUB TYPE:

Journal Article

SUBJECT(S):

linear regression; perpendicular offsets; evaluation methods; validation methods; least squares

DISCIPLINE:

Chemistry

HTTP:

http://lori.academicdirect.org/articles/work_list.php?user=lori&id=1

LANGUAGE:

Romanian

PUB ID:

103-434-387 (Last edited on 2007/05/15 08:13:55 GMT-6)

SPONSOR(S):

ABSTRACT:
The evaluation and validation of analytical methods and instruments require comparison studies using samples of raw material for testing the accuracy and precision. Traditionally, in analytical chemistry the correlation coefficient "r" is calculated and equality is tasted with the parameters of the linear model. In this paper the results from ordinary least squares method were compared with a new regression procedure that takes into account the errors in both variables (methods). After a discussion of the properties of the regression procedures, reccomandation are given for carrying out a method comparison study. The robust behaviour of the regression procedure proposed is demonstrated by different data sets.

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