Monitoring the Laboratory to Prevent Non-Compliance (Statistical Process Control)
Duration : 60 Minutes
John C. Fetzer,
John C. Fetzer, has had over 30 year experience in GC and GC-MS methods development. He has authored or co-authored over 50 peer-reviewed papers on chromatography, has served on the editorial advisory boards of the Journal of Chromatography, Analytical Chemistry, and Analytical and Bio analytical Chemistry.
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Control charts are based on the distribution of data expected in a laboratory, the Gaussian distribution of occurrences. There are well defined probabilities for the data. Guidelines for good or unacceptable behaviour are well known. The most common of these are Nelson Rules, in use for over a century. With wise selection of the variables to monitor, assessing performance can be simple.
Why Should You Attend:
Compliance under GLP can be difficult. The setting up of a system to monitor performance of methods and instruments can lessen this. Statistical Process Control (SPC) uses control charts and statistical guidelines to monitor a wide variety of things in the compliant laboratory. These generate a proactive system to assess problems early on and quickly to be handled by adjustments rather than the strict situation of a non-compliance event.
Course Outline:
• The statistics of laboratory data,
• Control charts,
• Nelson Rules,
• Common laboratory problems that effect accuracy and precision.
What You Get:
• Training Materials
• Live Q&A Session with our Expert
• Participation Certificate
• Access to Signup Community (Optional)
• Reward Points
Who Will Benefit:
• Research Associates
• Lab Chemists
• Lab Supervisors
• Quality Officers
• Clinical Research Coordinator
Please reach us at 1-888-844-8963 for any further assistance or if you wish to register
