Costel SARBU, Victor LITEANU and M. BALDEA (2000) Evaluation and validation of analytical methods by regression analysis

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Evaluation and validation of analytical methods by regression analysis

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CONTRIBUTORS:

	Author:	Costel SARBU
	Author:	Victor LITEANU
	Author:	M. BALDEA

JOURNAL:

Reviews in analytical chemistry, 19(6), 467 - 490.

YEAR:

2000

PUB TYPE:

Journal Article

SUBJECT(S):

chemistry - analytical

DISCIPLINE:

Chemistry

HTTP:

http://lori.academicdirect.org/cites/09.pdf

LANGUAGE:

English

PUB ID:

103-436-039 (Last edited on 2007/07/08 04:33:41 GMT-6)

SPONSOR(S):

ABSTRACT:
The evaluation and validation of analytical methods and instruments require comparison studies using samples material for testing accuracy and precision. Traditionally, in analytical chemistry the commonly accepted method of analyzing data from method comparison studies is least squares regression analysis, a model which has limitations. In this review the ordinary least squares and many other regression approaches recommended in the literature were presented and compared. After a discussion of the properties of the regression procedures, recommendations are given for carrying out a method comparison study using informational analysis of variance. The efficiency of the regression procedures discussed is demonstrated by different data sets from published literature.

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