Practical sheet | REF: FIC1409 V1

Validation of analytical methods

Author: Morgan GERMA

Publication date: February 10, 2015 | Lire en français

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


6. Mistakes to avoid

6.1 Don't let the numbers do the talking.

When validating a method, you may have to compare a result with an acceptance criterion (a mean less than, a bias smaller than, etc.), but don't forget that the statistical method itself has its own uncertainty. It's the combination of the result, its context and your expertise that needs to be studied in its entirety.

SCROLL TO TOP

6.2 Don't think that what is written is necessarily true.

If, in quality terms, the phrase "what is not written does not exist" is appropriate,...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Laboratory quality and safety procedures

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

Ongoing reading
Mistakes to avoid