HomeBusiness & Finance BooksForecasting for the Pharmaceutical Industry: Models for New Product and In-Market Forecasting and How to Use Them
Skip to product information
1 of 1

Forecasting for the Pharmaceutical Industry: Models for New Product and In-Market Forecasting and How to Use Them

hardcoverApril 28, 2015
Regular price $66.45 USD
Regular price Sale price $66.45 USD
Sale Sold out
Shipping calculated at checkout.
Secure Checkout
Quality Guaranteed
New In Stock
ISBN-13: 9781472460110 ISBN-10: 1472460111
Publisher
Routledge
Binding
hardcover
Published
April 28, 2015
Weight
1.5 lbs
Dimensions
25.40×2.50×17.80 cm

About this book

Forecasting for the Pharmaceutical Industry: Models for New Product and In-Market Forecasting and How to Use Them by Cook, Arthur G.. hardcover edition. ISBN: 9781472460110.

Forecasting for the Pharmaceutical Industry is a definitive guide for forecasters as well as the multitude of decision makers and executives who rely on forecasts in their decision making. In virtually every decision, a pharmaceutical executive considers some type of forecast. This process of predicting the future is crucial to many aspects of the company - from next months production schedule, to market estimates for drugs in the next decade. The pharmaceutical forecaster needs to strike a delicate balance between over-engineering the forecast - including rafts of data and complex ’black box’ equations that few stakeholders understand and even fewer buy into - and an overly simplistic approach that relies too heavily on anecdotal information and opinion. Arthur G. Cooks highly pragmatic guide explains the basis of a successful balanced forecast for products in development as well as currently marketed products. The author explores the pharmaceutical forecasting process; the varied tools and methods for new product and in-market forecasting; how they can be used to communicate market dynamics to the various stakeholders; and the strengths and weaknesses of different forecast approaches. The text is liberally illustrated with tables, diagrams and examples. The final extended case study provides the reader with an opportunity to test out their knowledge. The second edition has been updated throughout and includes a brand new chapter focusing on specialized topics such as forecasting for orphan drugs and biosimilars.