Training Sessions
Only available to delegates registered for the workshop
[T1] Basic Statistics
In this training course, the basic statistical principles required for the evaluation of proficiency testing (PT) results will be explained. The course begins with an introduction to data distribution and its graphical representation, for example using histograms. Participants will learn about different measures of central tendency and variability used to summarise data. The programme will also cover the normal distribution - its key properties, relevance to performance evaluation, and methods for detecting outliers. In addition, statistical approaches for testing stability and homogeneity in PTs will be presented. The course will conclude with a brief overview of statistics applied to qualitative PTs and will include guided practical exercises.
*Trainers: Marzia Mancin and Piotr Robouch
[T2] Homogeneity & Stability - approaches to assessment
In this training course, participants will learn about the key requirements, procedures, and criteria for assessing the homogeneity and stability of proficiency testing (PT) samples in accordance with ISO 13528. The course will cover essential aspects such as the requirements of ISO/IEC 17043:2023, representative and statistical sampling, replicate testing within and over time, comparison and evaluation of results, statistical data analysis. Practical insights will also be shared on how the PT provider’s experience and expertise contribute to reliable homogeneity and stability assessment.
*Trainers: Kees van Putten and Caroline Laurent
[T3] Advanced Statistics
The training will focus on the advanced statistical techniques described in ISO 13528:2015. Participants will learn about robust methods for estimating the mean and standard deviation, including Algorithm A, the Qn method, and the Q/Hampel method. These techniques will be demonstrated and compared through practical exercises using an Excel tool provided. The course will also introduce the principles of kernel density estimation and bootstrapping, with corresponding Excel files supplied for hands-on exploration.
*Trainers: Marzia Mancin and Piotr Robouch
[T4] Demystifying Reports - understanding and interpretation
This training will explain how laboratories can assess their performance by comparing their results with those of other participants through the correct interpretation of proficiency testing (PT) reports. Participants will learn to identify and understand key performance indicators, such as z-scores and standard deviations, and their implications for performance evaluation. The course will clarify the statistical terms commonly used in PT reports and highlight the importance of investigating unsatisfactory or questionable results to ensure continuous improvement and data reliability.
*Trainers: Brian Brookman and Raquel Múrtula