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This handbook attempts to select or define robust procedures that ensure the best use of resources and enable laboratories to generate consistent, reliable data. Written in concise, easy-to-read language and illustrated with worked examples, it is a guide to current best practice and establishes a control framework for the development and validation of laboratory-based analytical methods. Topics include samples and sampling, method selection, equipment calibration and qualification, method development and validation, evaluation of data and statistical approaches for method performance and comparison.

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