Caroline Laurent
With a technical education in biology and a graduate of the Ecole Supérieure de Gestion de Paris, C. LAURENT held the position of General Manager for 10 years within a software publishing group for medical biology laboratories. Her overall professional background combines both technical responsibilities and business development. The medical environment being a highly regulated sector, she is particularly familiar with standardization and quality processes in general. With a strong service culture and experienced in managing multidisciplinary teams, C. LAURENT, as Director of BIPEA since 2013, she aims at pursuing Proficiency testings & associated services’ development and progress.
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
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
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
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 MúrtulaMorning 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
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
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
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 MúrtulaMorning 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
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
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
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