Login or create an account
CloseReturning Customer
I am a returning customer
Login or create an account
CloseRegister Account
If you already have an account with us, please login at the login form.
Ваша учетная запись создана!
Спасибо за регистрацию в ПрофКнига!
Вы будете уведомлены по электронной почте, как только Ваш Личный Кабинет будет активирован администрацией магазина.
Если у Вас есть какие-то вопросы, пожалуйста напишите нам.
Выход
Вы вышли из Личного Кабинета.
Ваша корзина покупок была сохранена. Она будет восстановлена при следующем входе в Ваш Личный Кабинет.
Bayesian Methods in Pharmaceutical Research
- 4680 грн
- Автор: Emmanuel Lesaffre, Gianluca Baio, Bruno Boulanger
- Издательство: CRC Press
- Год издания: 2020
- Страниц: 516
- Склад: Готовится к печати
Since the early 2000s, there has been increasing interest within the pharmaceutical industry in the application of Bayesian methods at various stages of the research, development, manufacturing, and health economic evaluation of new health care interventions. In 2010, the first Applied Bayesian Biostatistics conference was held, with the primary objective to stimulate the practical implementation of Bayesian statistics, and to promote the added-value for accelerating the discovery and the delivery of new cures to patients.
This book is a synthesis of the conferences and debates, providing an overview of Bayesian methods applied to nearly all stages of research and development, from early discovery to portfolio management. It highlights the value associated with sharing a vision with the regulatory authorities, academia, and pharmaceutical industry, with a view to setting up a common strategy for the appropriate use of Bayesian statistics for the benefit of patients.
The book covers:
Theory, methods, applications, and computing
Bayesian biostatistics for clinical innovative designs
Adding value with Real World Evidence
Opportunities for rare, orphan diseases, and pediatric development
Applied Bayesian biostatistics in manufacturing
Decision making and Portfolio management
Regulatory perspective and public health policies
Statisticians and data scientists involved in the research, development, and approval of new cures will be inspired by the possible applications of Bayesian methods covered in the book. The methods, applications, and computational guidance will enable the reader to apply Bayesian methods in their own pharmaceutical research.
Emmanuel Lesaffre is Professor of Biostatistics at KU Leuven, Belgium.
Gianluca Baio is Professor of Statistics and Health Economics at University College London, UK.
Bruno Boulanger is Chief Scientific Officer at PharmaLex, Belgium.
- ISBN: 9781138748484
- Язык издания: EN
- Обложка: Тверда
- Размер: 220 х 290 мм
- Вес: 1,000г
