Ana Patricia Ferreira – Multivariate Analysis in the Pharmaceutical Industry (2018)

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Автор: Ana Patricia Ferreira
Название книги: Multivariate Analysis in the Pharmaceutical Industry
Формат: PDF
Тема: Фармацевтика
Страницы: 444
Качество: Изначально компьютерное, E-book

Multivariate Analysis in the Pharmaceutical Industry provides industry practitioners with guidance on multivariate data methods and their applications over the lifecycle of a pharmaceutical product, from process development, to routine manufacturing, focusing on the challenges specific to each step. It includes an overview of regulatory guidance specific to the use of these methods, along with perspectives on the applications of these methods that allow for testing, monitoring and controlling products and processes. The book seeks to put multivariate analysis into a pharmaceutical context for the benefit of pharmaceutical practitioners, potential practitioners, managers and regulators.

Users will find a resources that addresses an unmet need on how pharmaceutical industry professionals can extract value from data that is routinely collected on products and processes, especially as these techniques become more widely used, and ultimately, expected by regulators.

Targets pharmaceutical industry practitioners and regulatory staff by addressing industry specific challenges
Includes case studies from different pharmaceutical companies and across product lifecycle of to introduce readers to the breadth of applications

Категории: Фармакология, Электронные книги

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Ana Patricia Ferreira – Multivariate Analysis in the Pharmaceutical Industry (2018) — практическое руководство по применению методов многомерного статистического анализа в фармацевтической отрасли. Книга показывает, как с помощью multivariate analysis решать реальные задачи разработки лекарств, контроля качества, оптимизации процессов и анализа клинических данных.

Авторы подробно рассматривают ключевые техники: PCA, PLS, многомерный регрессионный анализ, кластеризацию и дизайн экспериментов. Особое внимание уделено интерпретации результатов в контексте регуляторных требований и валидации моделей в фармацевтике.