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Site language : English - Français
Ref : 28253
Event :Statistical Quality Control in Pharmaceutical and (IVD Industries)

Date :Wednesday December 05th, 2018

Location :Online (Internet, Videoconferencing, ...)

Type :Education - International audience

Accreditation :--


Further information

Process validation is the establishment of documented evidence which 
provides a high degree of assurance that a specific process will 
consistently produce a product meeting its pre- determined specifications 
and quality characteristics.
Areas Covered in the Session:
The first step in establishing the control chart is to set the QC limits. The 
formula "Mean +/- 3*SD" is often taken for granted, the webinar will 
explain how the QC limits should be established. 
Why Mean?
Why 3?
Why SD?
Why are the upper and lower limits symmetric around the mean?
What N should be required to do this calculation?
Who Will Benefit:
Clinical Labs
Translational research
Diagnostic Labs
Quality Control
Speaker Profile:
Dr. Shuguang Huang has 20 years of experience working in 
pharmaceutical and diagnostic companies. He had assumed technical and 
management positions at Eli Lilly, Wyeth, Pfizer, and Precision 
Therapeutics, a cancer diagnostic company. In 2014, he co-founded and 
assumed the Chief Scientific Officer position for the statistics consulting 
company Stat4ward LLC. 
Event Fee: One Dial-in One Attendee Price: US$150.00
Contact Detail:
Compliance4All DBA NetZealous,
Phone: +1-800-447-9407

Further information

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Compliance4All is a professional trainings provider for the regulated industries. It offers professional trainings for regulatory compliance professionals and offers innovative strategic consulting and advice to a broad range of organizations. These services help them to be compliant with regulatory requirements. . Compliance4All [...]

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Presentation sheet from Compliance4All


Statistical Quality Control in Pharmaceutical and (IVD Industries) Pharmacy - Medicine - Bio-Technologies - National Health - Public Health
education training, medical technology
Everyone, Translational research Diagnostic Labs Lab CRO CMC Quality Control
50 1 --


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