Method Validation in Analytics

Register
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Next Date

By arrangement

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Participants

3 - 12 

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Duration

2 Days

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Course Form

online, classroom in Basel or in-house ℹ

In-house training = tailored course contents

Our statistics courses are also available in form of in-house trainings (in English, German or French), either online or on-site. Selected topics of our standard offer can then be combined and, if desired, extended, to specify your ideal course contents. Moreover, the practical PC-based exercises can be based on your data, which facilitates very much the application of the methods learnt after the training.

The participants acquire exactly the knowledge they need to support their daily work.

Take profit of our 25 years’ experience in coaching such trainings! Just contact us for more information or a precise offer.

Trainer:
Trainer: Dr. Philippe Solot

He has over 25 years of experience in the application of statistical methods in the process industry. He has coached many training sessions on various topics, including the visualization and analysis of lab data with Excel. His wide practical knowledge allows him to make even complex concepts easily understand­able by participants.

Dr. Solot holds an M.Sc. and a Ph.D. in Applied Mathematics, both from the EPFL (Swiss Federal Institute of Technology, Lausanne).

Course Description

Do you work in a lab and wish to validate recently developed or established methods systematically? This course aims to provide a broad overview over concepts and methods needed for an optimal approach. It is designed for analytical scientists with basic Excel knowledge.

What Are You Going to Learn?

This course teaches the essential steps and calculations for analytical method validation, with a focus on effective visualization and reporting, which are all practised on PC. Participants will learn both traditional methods (e.g., r and R indices) and modern approaches like the Accuracy Profile, a graphical tool for assessing fitness for purpose, using applied examples and exercises.

Who Should Attend?

  • Technicians, supervisors, and chemists wishing to validate analytical methods in the lab

  • Requirement: basic knowledge of Excel; no previous statistical knowledge necessary

Course Fees

Standard Fees Conditions for the EU
Standard Fees
  • CHF 795.- per day + 8.1% VAT (incl. course documents and individual participant coaching during the practical exercises) for online courses
  • CHF 865.- per day + 8.1% VAT (incl. course documents, individual participant coaching during the practical exercises, break refreshments and lunch) for classroom courses.
Conditions for the EU

Which Topics Are Covered?

Basics

  • Validation procedure

  • Practical and regulatory background, reporting

Calibration

  • Linear regression

  • Model quality, residual analysis

  • Transformation if required

  • Detection/determination limit (LOD/LOQ)

Treatment of Outliers

  • Outlier tests

Actual Validation

  • Accuracy, precision

  • Repeatability, reproducibility

  • Characteristic indicators (linearity, matrix LOQ, ...)

  • Methodology: recovery rate, spiking, accuracy profile, Horwitz ratio

Further Aspects

  • Specificity / selectivity

  • Comparison of methods

  • Investigation of robustness with DoE

  • Quality control

Registration Form – Method Validation in Analytics
Title
CONFIRMDATA1
CONFIRMDATA2

Questions about Data Analysis or EasyStat?

We are always at your disposal if you have any questions. Simply call us on +41 61 686 98 77 or use the Contact Form.