Using Statistics for Laboratory Quality Monitoring - Recorded Webinar

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Robinson
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Webinar Duration: 60 minutes

RECORDED: Access recorded version only for one participant; unlimited viewing for 6 months (Access information will be emailed 24 hours after the completion of payment)

SPEAKER: John C. Fetzer

OVERVIEW:
Data quality and compliance to a required level of performance are measured by statistical tools. Usually in compliance there is a very heavy weighing towards only 3-sigma deviations. But statistics gives much more than that. There are other signs that being "out of control" is a building situation. These other statistical patterns can be used to trigger preventive actions without the dire consequence of a non-compliance.

Why should you Attend: Many problems that arise in an analysis result from causes that start small and grow over time. Others result from an unplanned change in a procedure or the performance of an instrument. These manifest themselves into changed patterns in certain measurable variables. The use of statistical methods to assess and monitor certain variables will be covered, highlighting the predictable patterns.

Areas Covered in the Session:
- Basic Statistics of Compliance and non-compliance
- Control Charts
- Nelson's Rules
- Which Nelson's Rule describes common occurrences in the laboratory
- Examples

Who Will Benefit:
- Research Associates
- Lab Chemists
- Lab Supervisors
- Quality Officers

SPEAKER PROFILE:
John C. Fetzer has had over 30 year experience in HPLC methods development. He has authored or co-authored over 50 peer-reviewed papers onl iquid chromatography, has served on the editorial advisory boards of the Journal of Chromatography, Analytical Chemistry, and Analytical and Bioanalytical Chemistry.
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