Optimization Pharmaceutical Programs Portfolios (20 results)

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  • Language: English

    Published by Springer, 2014

    3319090747 / 9783319090740

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  • Language: English

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  • Language: English

    Published by Springer, 2014

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  • Language: English

    Published by Springer, 2014

    3319090747 / 9783319090740

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  • Language: English

    Published by Springer, 2014

    3319090747 / 9783319090740

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    Language: English

    Published by Springer, 2016

    3319343122 / 9783319343129

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    Taschenbuch. Condition: Neu. Optimization of Pharmaceutical R&D Programs and Portfolios | Design and Investment Strategy | Zoran Antonijevic | Taschenbuch | viii | Englisch | 2016 | Springer | EAN 9783319343129 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Springer Verlag, 2014

    3319090747 / 9783319090740

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    Hardcover. Condition: Brand New. 2015 edition. 202 pages. 9.25x6.25x0.75 inches. In Stock.

  • Language: English

    Published by SPRINGER, 2015

    3319090747 / 9783319090740

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    Condition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

  • Language: English

    Published by Springer Verlag, 2016

    3319343122 / 9783319343129

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    Paperback. Condition: Brand New. reprint edition. 212 pages. 9.30x6.20x0.50 inches. In Stock.

  • Language: English

    Published by Springer, 2016

    3319343122 / 9783319343129

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

  • Language: English

    Published by Springer, 2016

    3319343122 / 9783319343129

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  • Language: English

    Published by Springer, 2014

    3319090747 / 9783319090740

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  • Language: English

    Published by Springer International Publishing, 2014

    3319090747 / 9783319090740

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    Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the impact of study design on maximizing the output at the portfolio level in the pharmaceutical industry Examines portfolio optimization comprehensively by integrating input from multiple stakeholders Provides an integrated appro.

  • Language: English

    Published by Springer International Publishing, 2016

    3319343122 / 9783319343129

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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the impact of study design on maximizing the output at the portfolio level in the pharmaceutical industry Examines portfolio optimization comprehensively by integrating input from multiple stakeholders Provides an integrated appro.

  • Language: English

    Published by Springer International Publishing, Springer International Publishing Okt 2014, 2014

    3319090747 / 9783319090740

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    Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 212 pp. Englisch.

  • Language: English

    Published by Springer International Publishing, Springer Nature Switzerland Aug 2016, 2016

    3319343122 / 9783319343129

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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 212 pp. Englisch.

  • Language: English

    Published by Springer International Publishing, Springer International Publishing Aug 2016, 2016

    3319343122 / 9783319343129

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.

  • Language: English

    Published by Springer International Publishing, Springer International Publishing Okt 2014, 2014

    3319090747 / 9783319090740

    • Hardcover
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    Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 212 pp. Englisch.

  • Language: English

    Published by Springer, 2014

    3319090747 / 9783319090740

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  • Language: English

    Published by Palgrave Macmillan, 2014

    3319090747 / 9783319090740

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.