This course is delivered by LGC and includes a high level of interaction and tutor support, including breakout sessions.
Please note: The classroom-based course is delivered over three days. The online course is delivered over four days as 8 x 2.5 hr modules starting at 09:30 and 13:30.
Method validation is the process that provides evidence that a test method is capable of producing results that are suitable for a particular application. It is a requirement of the ISO/IEC 17025 and ISO 15189 laboratory accreditation standards and many other sectoral regulations and directives.
Method validation should always be a planned activity. This course introduces the statistics required for interpreting validation data and provides the tools to plan and carry out effective validation studies. There is ample opportunity to practice the principles learned through laptop-based workshops using Excel.
For bookings within a month of the course start date, we will require credit or debit card payment to be able to process the booking and secure your space on the course.
Who is this course for?
Anyone seeking to develop their understanding of method validation in the analytical chemistry and related sectors. This might include:
- Analysts
- Quality managers
- Laboratory managers
Method Validation
£1800 exc VAT Virtual Class Places Available
Method Validation
£1800 exc VAT LGC Guildford Places Available
Method Validation
£1800 exc VAT Virtual Class Places Available
Method Validation
£1800 exc VAT LGC Guildford Places Available
Method Validation
£1800 exc VAT Virtual Class Places Available
Method Validation
In-house Request
This course will help learners:
- 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
- Appreciate and understand the link between method validation and measurement uncertainty
- Apply statistical principles through laptop-based workshops.
- Essential statistical tools: T-Tests, F-Test, ANOVA, Regression
- Building a Validation Protocol
- Performance Parameters: Precision, Bias, Ruggedness, Detection limits, Linearity
- Introduction to Measurement Uncertainty
Contact us
Need more information? To discuss your training needs, enquire about an in-house course or talk to a member of the UKAS Academy team about different course options, complete this enquiry form and one of our training specialists will be in touch.