speaker-photo

Piotr Robouch

JRC
14:00 - 16:00

Afternoon 28th September

[T1] Basic Statistics

In the training course, the basic principles of statistics necessary for statistical evaluation of PTs will be explained, starting from an explanation of data distribution and how to draw that, e.g. with a histogram. Different types of position and variability indexes will be provided to summarize the data. The normal distribution, its important properties and its connection with the way to evaluate the participant performance, as well as detection of outliers, will be part of the programme. Necessary statistics for stability and homogeneity tests in PTs will be also treated. Quick reference about qualitative PTs will finalize the programme. The training will also contain guided exercises. *Trainers: Marzia Mancin and Piotr Robouch

14:00 - 16:00

Afternoon 28th September

[T2] Homogeneity & Stability

In this training course, attendees will learn about the important requirements, procedures and criteria for assessment of homogeneity and stability of the PT samples, according to ISO 13528. For homogeneity and stability assessment, participants will learn about the following key points: requirements of ISO/IEC 17043:2023 standard, how to perform representative and statistical sampling, doing replicate testing in and over time, comparison methods of results, statistical analysis of data, outlier handling, and the experience and expertise supplied by the PT provider. *Trainers: Kees van Putten and Caroline Laurent

16:30 - 18:30

Afternoon 28th September

[T3] Advanced Statistics

The training will focus on the more sophisticated statistical techniques described in ISO 13528:2015. Robust techniques for the estimation of mean and standard deviation - Algorithm A, Qn method and Q/Hampel method - will be explained and can be compared in an exercise using an Excel programme provided. The principles of kernel density estimation and bootstrapping will be shown and Excel files will provided for that as well. *Trainers: Marzia Mancin and Piotr Robouch

16:30 - 18:30

Afternoon 28th September

[T4] Demystifying Reports

The training will explain how a laboratory assesses his performance by comparing their results with those of other laboratories thanks to the right interpretation of the PT reports.

Understanding these reports involves recognizing key performance indicators, like z-scores, and understanding their implications. In this course we will clarify the information provided in the PT reports, so that the participant will be familiar with key statistical terms used in PT reports, such as z-scores and standard deviations. Apart from understanding the content of a PT report, we will explain the importance of performing investigation of unsatisfactory or questionable PT results. *Trainers: Brian Brokman and Raquel Múrtula

08:30 - 10:30

Morning 28th September

[T1] Basic Statistics

In the training course, the basic principles of statistics necessary for statistical evaluation of PTs will be explained, starting from an explanation of data distribution and how to draw that, e.g. with a histogram. Different types of position and variability indexes will be provided to summarize the data. The normal distribution, its important properties and its connection with the way to evaluate the participant performance, as well as detection of outliers, will be part of the programme. Necessary statistics for stability and homogeneity tests in PTs will be also treated. Quick reference about qualitative PTs will finalize the programme. The training will also contain guided exercises. *Trainers: Marzia Mancin and Piotr Robouch

08:30 - 10:30

Morning 28th September

[T2] Homogeneity & Stability

In this training course, attendees will learn about the important requirements, procedures and criteria for assessment of homogeneity and stability of the PT samples, according to ISO 13528. For homogeneity and stability assessment, participants will learn about the following key points: requirements of ISO/IEC 17043:2023 standard, how to perform representative and statistical sampling, doing replicate testing in and over time, comparison methods of results, statistical analysis of data, outlier handling, and the experience and expertise supplied by the PT provider. *Trainers: Kees van Putten and Caroline Laurent

11:00 - 13:00

Morning 28th September

[T3] Advanced Statistics

The training will focus on the more sophisticated statistical techniques described in ISO 13528:2015. Robust techniques for the estimation of mean and standard deviation - Algorithm A, Qn method and Q/Hampel method - will be explained and can be compared in an exercise using an Excel programme provided. The principles of kernel density estimation and bootstrapping will be shown and Excel files will provided for that as well. *Trainers: Marzia Mancin and Piotr Robouch

11:00 - 13:00

Morning 28th September

[T4] Demystifying Reports

The training will explain how a laboratory assesses his performance by comparing their results with those of other laboratories thanks to the right interpretation of the PT reports.

Understanding these reports involves recognizing key performance indicators, like z-scores, and understanding their implications. In this course we will clarify the information provided in the PT reports, so that the participant will be familiar with key statistical terms used in PT reports, such as z-scores and standard deviations. Apart from understanding the content of a PT report, we will explain the importance of performing investigation of unsatisfactory or questionable PT results. *Trainers: Brian Brokman and Raquel Múrtula

14:00 - 16:00

Morning 28th September

[T1] Basic Statistics

In the training course, the basic principles of statistics necessary for statistical evaluation of PTs will be explained, starting from an explanation of data distribution and how to draw that, e.g. with a histogram. Different types of position and variability indexes will be provided to summarize the data. The normal distribution, its important properties and its connection with the way to evaluate the participant performance, as well as detection of outliers, will be part of the programme. Necessary statistics for stability and homogeneity tests in PTs will be also treated. Quick reference about qualitative PTs will finalize the programme. The training will also contain guided exercises. *Trainers: Marzia Mancin and Piotr Robouch

14:00 - 16:00

Morning 28th September

[T2] Homogeneity & Stability

In this training course, attendees will learn about the important requirements, procedures and criteria for assessment of homogeneity and stability of the PT samples, according to ISO 13528. For homogeneity and stability assessment, participants will learn about the following key points: requirements of ISO/IEC 17043:2023 standard, how to perform representative and statistical sampling, doing replicate testing in and over time, comparison methods of results, statistical analysis of data, outlier handling, and the experience and expertise supplied by the PT provider. *Trainers: Kees van Putten and Caroline Laurent

16:30 - 18:30

Morning 28th September

[T3] Advanced Statistics

The training will focus on the more sophisticated statistical techniques described in ISO 13528:2015. Robust techniques for the estimation of mean and standard deviation - Algorithm A, Qn method and Q/Hampel method - will be explained and can be compared in an exercise using an Excel programme provided. The principles of kernel density estimation and bootstrapping will be shown and Excel files will provided for that as well. *Trainers: Marzia Mancin and Piotr Robouch

16:30 - 18:30

Morning 28th September

[T4] Demystifying Reports

The training will explain how a laboratory assesses his performance by comparing their results with those of other laboratories thanks to the right interpretation of the PT reports.

Understanding these reports involves recognizing key performance indicators, like z-scores, and understanding their implications. In this course we will clarify the information provided in the PT reports, so that the participant will be familiar with key statistical terms used in PT reports, such as z-scores and standard deviations. Apart from understanding the content of a PT report, we will explain the importance of performing investigation of unsatisfactory or questionable PT results. *Trainers: Brian Brokman and Raquel Múrtula