If statistical requirements for compliance apply to
your business, then we have the right solutions for you in this webinar.
This session will discuss the distinction between and requirements for
method validation and method verification, to comply with ISO/IEC Standard
17025:2005 for laboratory certification in food/water microbiology. Understand;
- Performance characteristics
- How you can monitor analytical competency
- Food categories and types
- Fitness for purpose
Why Should You Attend
Without a clear understanding of the different
analytical approaches for verification and validation, laboratories often end
up doing more unnecessary, costly work, with little benefit for FDA
CGMP compliance, FDA audit training, FDAGMP compliance or for FDA
good documentation practices.
Very often the inappropriate analytical strategy
used is unacceptable to meet the requirements for FDA validation training/
accreditation and the effort needs to be repeated. Learn to do the microbiology
media preparation, right the 1st time!
Areas Covered In This
Quantitative and Qualitative methods have different
performance measurement requirements and require different statistical
Although method validation and method verification
are related terms, they have very different analytical and statistical
requirements particularly for compliance with ISO/IEC 17025:2005.
Understanding these differences is essential for
developing appropriate strategies for assessing a method’s fitness for purpose.
This webinar will not only address the semantics,
but will also discuss the appropriate analytical and statistical approaches to
achieving successful verification and validation studies.
Instructor Michael Brodskyhas been an Environmental Microbiologist for
more than 44 years. He is a Past President of the Ontario Food Protection
AtoZ Compliance, we focus on our
core values - quality, expertise, and customer experience which are the
foundation of our business. We believe that our
up to date training programs will help you grow and succeed in your business.
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