A proof of the reliability of analytical data is only possible with appropriate quality assurance measures. This applies to environmental or food monitoring, material analysis, as well as bioanalysis in the biotechnology industry or in the medical field (in vitro diagnostics, point-of-care testing). The authors present a proven, comprehensive concept based on statistical methods that spans from the development of an analytical method to its routine application. The second, completely revised edition includes new chapters, including one on the current topic of "measurement uncertainty," and is complemented by a CD with practical calculation examples. Reviewers comment on this book: laboratory managers or regulatory representatives will find a reliable guide and reference source. Furthermore, the book serves as a teaching and.