UPC: 9783319343129 | Optimization of Pharmaceutical R&d Programs and Portfolios: Design and Investment Strategy (Paperback)
- At amazon.com you can purchase Optimization of Pharmaceutical R&D Programs and Portfolios: Design and Investment Strategy for only 0.00
- The lowest price of Optimization of Pharmaceutical R&D Programs and Portfolios: Design and Investment Strategy was obtained on April 22, 2025 9:57 am.

Description
UPC lookup results for: 9783319343129 | Optimization of Pharmaceutical R&d Programs and Portfolios: Design and Investment Strategy (Paperback)
Very little has been published on optimization of pharmaceutical portfolios. Moreover most of published literature is coming from the commercial side where probability of technical success (PoS) is treated as fixed and not as a consequence of development strategy or design. In this book there is a strong focus on impact of study design on PoS and ultimately on the value of portfolio. Design options that are discussed in different chapters are dose-selection strategies adaptive design and enrichment. Some development strategies that are discussed are indication sequencing optimal number of programs and optimal decision criteria. This book includes chapters written by authors with very broad backgrounds including financial clinical statistical decision sciences commercial and regulatory. Many authors have long held executive positions and have been involved with decision making at a product or at a portfolio level. As such it is expected that this book will attract a very broad audience including decision makers in pharmaceutical R&D commercial and financial departments. The intended audience also includes portfolio planners and managers statisticians decision scientists and clinicians. Early chapters describe approaches to portfolio optimization from big Pharma and Venture Capital standpoints. They have stronger focus on finances and processes. Later chapters present selected statistical and decision analysis methods for optimizing drug development programs and portfolios. Some methodological chapters are technical; however with a few exceptions they require a relatively basic knowledge of statistics by a reader.
There are no reviews yet.