Best Practices in Statistical Process Monitoring ... - IBC Life Sciences
Best Practices in Statistical Process Monitoring ... - IBC Life Sciences
Best Practices in Statistical Process Monitoring ... - IBC Life Sciences
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6. How to Handle Unusual Data<br />
Situation<br />
“out of control”<br />
historical data<br />
“non-normal”<br />
historical data<br />
LoQ assays<br />
(e.g. LaL, purity)<br />
Strategies/Comments<br />
• Exclude special cause variability<br />
• Incorporate all common cause variability<br />
• Short horizon reference range often too narrow<br />
• Utilize mov<strong>in</strong>g range for control limit calculations.<br />
• 3 limits often apply 1<br />
• Avoid complex WE/Nelson rules<br />
• Transform data prior to apply<strong>in</strong>g rules<br />
• Visually <strong>in</strong>spect trends <strong>in</strong>stead<br />
• If sufficient data is available >LoQ, exclude