Method Validation and Uncertainity of Measurement

Method validation

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 accreditation standard. During the course there is ample opportunity to practice the principles learned through lap-top based workshops using Excel.

Uncertainty of Measurement

Any laboratory wishing to achieve accreditation to ISO/IEC 17025:2005 is required to have, and to apply, policies and procedures for the estimation, use and reporting of uncertainties of measurement for any tests or calibrations covered by their scope of accreditation.

What are the benefits?

  •  This course will help participants 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.
  •  Drawing on experience of training skills of estimating uncertainty of measurement to more than two thousand testing and calibration practitioners over the years, this course aims to provide participants with an appreciation of the concept of uncertainty of measurement in both a testing and calibration environment, and uses a combination of lectures and interactive exercises and demonstrations to take participants through the process of calculating uncertainties.

The course will cover:

  • Introduction to statistics for method validation
  • Significance testing – t-tests and the F- test Analysis of variance (ANOVA) Linear regression
  • Introduction to the concepts of method validation

Building a validation protocol
Performance parameters; precision, bias and ruggedness

  • Performance parameters; selectivity, LoD, LoQ, linearity and working range using validation data to estimate measurement uncertainty
  • Appreciation of Uncertainty: Individual Exercise in Open Session
  • Traceability, calibration, corrections and SI units
  • Definition of Metrological Terms
  • Classifications of Uncertainty – Type A & Type B
  • Discovering Distributions
  • Symbols and Equations Part 1
  • Combination of Uncertainties
  • Calculation of Uncertainty for a Measurement
  • Example of a test with influence quantities
  • Sources of Uncertainty
  • Correlated Contributions
  • Human Factors
  • Pooled Standard Deviations
  • Approaches to Evaluating sources of uncertainty
  • Normal or not? – situations where a normal distribution cannot be assumed for the combined uncertainty
  • Stochastic modeling of uncertainty in quantitative measurements
  • Statements of Uncertainty and Compliance

 Who should attend?

This course is designed for analytical scientists, metrologists and potential or existing laboratory managers who are involved in method development and method validation.

Any person who is, or will be, involved in the estimation, use and reporting of uncertainties of measurement for testing and/or calibration

 Course presentation and assessment

  •  Power point presentations and handouts
  • Practical group exercises and discussions
  •  Daily tests / reviews and feedback
  •  A combination of tutorials, interactive workshops and case studies


Lunch and Break tea with snacks provided along with water in the morning and afternoon sessions

Venue: Panari Hotel

Dates: 24TH -27TH June 2014

Time: 9:00am-4.00pm

Cost: Kes 60,000 exclusive of VAT Per participant.


registration form

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