Multivariate Analysis and Statistics in Pharmaceutical Process Research and Development

Author:

Tabora José E.1,Domagalski Nathan1

Affiliation:

1. Chemical & Synthetics Development, Pharmaceutical Development, Bristol-Myers Squibb Company, New Brunswick, New Jersey 08901;,

Abstract

The application of statistics in pharmaceutical process research and development has evolved significantly over the past decades, motivated in part by the introduction of the Quality by Design paradigm, a landmark change in regulatory expectations for the level of scientific understanding associated with the manufacturing process. Today, statistical methods are increasingly applied to accelerate the characterization and optimization of new drugs created via numerous unit operations well known to the chemical engineering discipline. We offer here a review of the maturity in the implementation of design of experiment techniques, the increased incorporation of latent variable methods in process and material characterization, and the adoption of Bayesian methodology for process risk assessment.

Publisher

Annual Reviews

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,General Chemistry

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