This updated Second Edition details how marketers, forecasters, and brand planners can achieve optimal success by building internally consistent simulation models to project future behavior of patients, physicians, and R&D processes. By introducing the reader to the complexities facing many pharmaceutical firms, specifically issues around cross-functional coordination and knowledge integration, this guide provides a framework for dynamic modeling of interest to several pharmaceutical markets, including epidemiology, ...
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This updated Second Edition details how marketers, forecasters, and brand planners can achieve optimal success by building internally consistent simulation models to project future behavior of patients, physicians, and R&D processes. By introducing the reader to the complexities facing many pharmaceutical firms, specifically issues around cross-functional coordination and knowledge integration, this guide provides a framework for dynamic modeling of interest to several pharmaceutical markets, including epidemiology, market definitions, compliance/persistency, and revenue generation in the context of patient flows or movements. Features in the text include:
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