» Method Validation
06 December, 2016
Method validation is the process that provides evidence that a given analytical method, when correctly applied, produces results that are fit for purpose. No matter how well a method performs elsewhere, analysts need to confirm that the method is valid when applied in their laboratory. There is now much greater emphasis on method validation in the ISO/IEC 17025:2005 accreditation standard. During the course there is ample opportunity to practice the principles learned through laptop-based workshops using Excel.
What are the benefits?
This course will help delegates understand method validation and its requirements; select and apply the statistics required during method validation; select and use the appropriate types of method validation studies and appreciate and understand the links with measurement uncertainty.
Day 1 - Essential statistics
- Introduction to statistics for method validation
- Significance testing t-tests and the F-test
- Analysis of variance (ANOVA)
- Linear regression
Day 2 - Providing the tools
- Introduction to the concepts of method validation
- Building a validation protocol
- Performance parameters; precision, bias and ruggedness
Day 3 - Further tools
- Performance parameters; selectivity, LoD, LoQ, linearity and working range
- Using validation data to estimate measurement