Statistical Simulations for Enhanced Understanding of Analytical Performance - Live Webinar

A comprehensive understanding of the performance of an analytical procedure is a key element in the enhanced (Quality-by-Design) development approach described in the new ICH Guideline Q14 “Analytical Procedure Development”, but is also beneficial in more traditional approaches to method development and validation. Besides the identification and (as far as possible) elimination of systematic bias (thus ensuring accuracy), an appropriate knowledge of the random variability (common cause variation) is essential, as this error type contributes to all other performance characteristics.

Having established a reliable knowledge of the respective precision, statistical simulations can facilitate to evaluate the consequences to other performance attributes or investigations, such as calibration models, design of precision or transfer studies, reportable values etc. This approach allows to perform a large number of (simulated) “experimental” investigations, to gain a “feeling” on the interplay of precision, number of determinations, as well as acceptance criteria.

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