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TRMV44 - Method validation
08 March 2011, 3 days
Method validation is an essential part of establishing and
ensuring the quality of analytical data. It cannot be guaranteed
that data will be fit for purpose unless the performance of the
test method has been studied and demonstrated to be adequate.
Method validation is the process that provides evidence that a test
method is capable of providing data that are suitable for a
particular application. It is a requirement of the ISO/IEC 17025
laboratory accreditation standard 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.
What are the benefits?
This course will help you:
- 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
Contents
The course will cover:
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
- Performance parameters: precision, bias and ruggedness.
Day 3 - Further tools
- Performance parameters: selectivity, capability of detection,
linearity and working range
- Using validation data to estimate measurement uncertainty.
Who should attend?
This course is designed for analysts and laboratory managers who
are involved with method development and assessing the performance
of analytical methods.
| Start date/time |
8 March
2011 9.00 |
| Duration |
3
days |
| Cost |
£1250 +
VAT |
| Location |
Teddington |
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