Common Chemometric Mistakes (and how not to make them)
July 15, 2020
The recorded version of this course is now available in our EigenU Recorded Courses area.
Eigenvector Research, Inc. is pleased to bring you Common Chemometric Mistakes (and how not to make them), an online instructor-led live short course. Chemometric methods are powerful tools but they can be misused and even abused. Professor Rasmus Bro leads this course covering many common mistakes which have appeared in scientific and popular literature.
Complete information about the course can be found by following the links below.
- Target Audience
- Course Description
- About the Instructors
- Course Fee
- Registration, Deadlines and Cancellations
- Course Outline
Common Chemometric Mistakes is aimed at engineers, chemists and other scientists who want to explore the highly multivariate data from chemical or biological systems or need to develop classification or predictive models based on it. It is well suited for those with an interest in
- Process Analysis, e.g. in the pharmaceutical, food and beverage, and process industries.
- Analytical Chemistry, e.g. QC labs, clinical analysis, forensic investigations, etc.
- Sensory and Consumer Science
- Metabolomics and Genomics
- Any field that produces chemical/analytical data
Chemometric tools make it possible to handle complex data and extract useful information. Unfortunately, going from univariate to multivariate analysis does not imply that there are fewer pitfalls and potential problems in the data analysis. There are, in fact, many more! In this course, we will go through many of the problems that occur when analyzing and interpreting multivariate data. The examples will mainly focus on the use of PCA and PLS but most of the conclusions are generally applicable.
For this course it is assumed that participants are familiar with basic chemometric methods including Principal Components Analysis (PCA) and Partial Least Squares regression (PLS).
This course will be delivered via WebEx webinar on July 15 in one segment of three and a half hours, from 7:00am to 10:30am PDT, 16:00-19:30 CET. The course material is based on our popular Eigenvector University course. Can’t join us live? We’ll record the lecture and make it available to registrants after the event.
The course will include several follow-along examples. In order to take advantage of these, participants should equip their computers with current versions of our MATLAB based software PLS_Toolbox. Alternately participants can use our stand-alone Solo software (available for Windows, MacOS and Linux). Demo copies will work just fine (they are full-featured and last for 30 days). Users with Eigenvector accounts can download free demos. If you don’t have an account, start by creating one.
The course will be led by Professor Rasmus Bro of the University of Copenhagen. Well known for his contributions in the field of multi-way analysis, Dr. Bro is the winner of many awards for his scientific contributions. He will be assisted by members of the Eigenvector scientific staff and software development team. Dr. Bro and the Eigenvector staff have delivered over 200 chemometrics courses at scientific conferences, on-site for companies and at our popular Eigenvector University each year in Seattle.
Eigenvector Research is pleased to offer this course at a special reduced “COVID-19 Lockdown” price. Prices include instruction, course materials (provided in advance in .pdf format) and a certificate of completion.
Prices shown are shown below. Payment must be received by 5pm PDT, Tuesday, July 14, 2020.
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Note: Payment must be received by 5pm PDT, Tuesday, July 14, 2020. Credit card orders are strongly encouraged. Acceptable forms of payment include MasterCard, VISA, American Express, and checks drawn on a US bank. Wire transfers can also be arranged.
Academic discount: University students and faculty are eligible for the academic rate. Verification of University affiliation is required by providing valid university mailing and e-mail address. Note that we define academic as “degree granting institution.” Institutions such as research laboratories which do not grant degrees pay the regular rate.
To register, login to your Eigenvector account, or create an account, then select the class you would like to attend under the “Purchase” tab. You can pay directly with your MasterCard, VISA or American Express using our secure credit card processing. You may ask to be invoiced, however, Payments must be received by 5pm PDT, Tuesday, July 14, 2020.
Complete refunds will be made for cancellations prior to July 10, 2020. No refunds will be made for cancellations after that date, however, substitutions are gladly accepted.
Daily Schedule, Pacific Daylight Time (PDT)
06:45 – 07:00 WebEx available for login
07:00 – 08:00 Instruction
08:00 – 08:10 Coffee Break
08:10 – 09:10 Instruction
09:10 – 09:20 Coffee Break
09:20 – 10:20 Instruction
10:20 – 10:30 Wrap-up and questions
- Chemometrics – the basic idea
- Variability is not information
- How to measure variability – misuse of correlations
- Interpreting scores and loadings
- Interpreting biplots
- How to optimize a model
- Interpreting a regression model
- Interpreting a regression vector
- Understanding correlation and causality
- How to determine the number of components