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Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning, Second Edition
 
 
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Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning, Second Edition [Hardcover]

Corey Peck (Author), Mark Paich (Author), Jason J. Valant (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Book Description

1420087703 978-1420087703 February 1, 2009 2
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.

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Editorial Reviews

Review

… an excellent introduction to the dynamic modeling approach to pharmaceutical brand planning… great tool for the arsenal. I would recommend this book to anyone working in marketing in the pharmaceutical industry. -Doodys Reviews (for the First Edition)

About the Author

MARK PAICH is one of the world’s experts on dynamic modeling methodology, both as an experienced analyst and instructor. He obtained his Ph.D. in System Dynamics from the Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. Dr. Paich has published in Management Science, Interfaces, Sloan Management Review, and several book chapters. His work has been also featured in Business Dynamics, Fifth Discipline Field Book, and Surviving Transformation. Dr. Paich is Co-author of Informa Healthcare’s first edition of Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning. Throughout his career, he has been CEO of Slaxer-Paich Marketing; Senior Professor of Economics at The Colorado College, Colorado Springs, Colorado, USA; Senior Specialist at McKinsey & Co.; and a principal in dynamic modeling consultancies. He has worked with over fifty Fortune 500 companies.

COREY PECK is Managing Director of Lexidyne, Colorado Springs, Colorado, USA. He is an expert in numerous model-building software packages and has extensive experience in model design, creation, analysis, and dissemination. He was Co-author of Informa Healthcare’s first edition of Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning. Peck has worked as an independent contractor for McKinsey & Co., where he developed a variety of models, many of which resulted in direct publication or inclusion in other works. He has developed over 20 dynamic market models for various large US-based pharmaceutical and biotechnology firms in the areas of forecasting, strategy development, and clinical trial design for various compounds in a variety of indications.

JASON VALANT is a recognized industry leader in dynamic modeling and is Co-author of Informa Healthcare’s first edition of Pharmaceutical Product Strategy: Using Dynamic Modeling for Effective Brand Planning. He is an expert in numerous model-building software packages and is highly regarded for his model building, data analysis, and project dissemination skills. He has used his expertise with a number of top pharmaceutical and biotech companies and has been instrumental in developing data analysis techniques for examining longitudinal patient dynamics. Valant also specializes in the application of the dynamic modeling approach to issues of economic development and workforce planning; most recently using an agent based modeling approach.


Product Details

  • Hardcover: 368 pages
  • Publisher: Informa Healthcare; 2 edition (February 1, 2009)
  • Language: English
  • ISBN-10: 1420087703
  • ISBN-13: 978-1420087703
  • Product Dimensions: 9.1 x 6.1 x 0.8 inches
  • Shipping Weight: 1.2 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #710,881 in Books (See Top 100 in Books)

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3 of 3 people found the following review helpful:
5.0 out of 5 stars Not just branding, but much more, May 6, 2007
When I purchased this book, I thought it would be an adaptation of branding techniques to the pharmaceutical products. In fact, it was different than I thought. The book illustrates very clearly and logically the dynamics of the pharmaceutical marketplace from three different perspectives; the ultimate consumer; patient, Doctors adoption of new drugs and the treatment attractiveness of the drug. Walking through the details would open to the reader a whole different perspective about the factors influencing the market shares. It acts as an eye opener, and evaluator, for a variety of marketing strategy that is properly targeted toward increasing market shares. Well, it all comes through explaining how dynamic modeling could be used to forecast new drug performance. For me, as a Market Researcher and Consultant, it would certainly help in providing better insights to our clients.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
brand planning, patient flow, currently treated patients, checking account balance, brand manager, former users, launch year, new chemical entities, new chemical entity, expected sales trajectory, treatment attractiveness, treatment option set, prescriber status, drug development framework, compound failure rates, doctor adoption process, disease marketplace, indication marketplace, treatment change dynamics, patient flow model, diagnosed incidence, limiting physics, patient segmentation, patients stock, diagnostic curve
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Dynamic Modeling, Standard Template, Doctor Adoption, Monte Carlo, Logit Choice, Case Study, United States, Most Likely Scenario, Treatment Change Matrix, Diagnosed Patients, Prevalent Population, Bass Diffusion, Traditional Approaches, Active Users, Diagnosis Process, Treatment Other, Non-Persistent Patients, Agent-Based Modeling Approach, Network Effect Scenario, Clinical Diagnosis, John Wiley, Antiulcer Drugs, Strategic Sensitivity Grid, American Heart Association, Previously Had Disease
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