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