This webinar will cover the basic statistics of compliance and non-compliance and how to use a statistical approach to monitor the operation in the laboratory.
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.
Why Should You Attend:
Everyone in a laboratory under compliance knows about 3-sigma out-of-control issues. Can the operation be monitored to avoid these? How? This webinar will cover the basic statistics of compliance and non-compliance and how to use a statistical approach to monitor the operation to ensure that it is under control and to see when a problem is arising, but before it is outside of 3-sigma.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 Webinar:
- 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
- Clinical Research Coordinator
Course Provider
John Fetzer,
