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Quantitative Decisions in Drug Development

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Quantitative Decisions in Drug Development

Christy Chuang-Stein, Simon Kirby (Gebundene Ausgabe, Englisch)

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This book focuses on important decision points and evidence needed for making decisions at these points during the development of a new drug. It takes a holistic approach towards drug development by incorporating explicitly knowledge learned from the earlier part of the development and available historical information into decisions at later stages. In addition, the book shares lessons learned from several select examples published in the literature since the publication of the first edition. The second edition reiterates the need for making evidence-based Go/No Go decisions in drug development discussed in the first edition. It substantially expands several topics that have seen great advances since the publication of the first edition. The most noticeable additions include three adaptive trials conducted in recent years that offer excellent learning opportunities, the use of historical data in the design and analysis of clinical trials, and extending decision criteria tothe cases when the primary endpoint is binary. The examples used to illustrate the additional materials all come from real trials with some post-trial reflections offered by the authors. The book begins with an overview of product development and regulatory approval pathways. It then discusses how to incorporate prior knowledge into study design and decision making at different stages of drug development. Prior knowledge includes information pertaining to historical controls. To assist decision making, the book discusses appropriate metrics and the formulation of go/no-go decisions for progressing a drug candidate to the next development stage. Using the concept of the positive predictive value in the field of diagnostics, the book leads readers to the assessment of the probability that an investigational product is effective given positive study outcomes. Lastly, the book points out common mistakes made by drug developers under the current drug-development paradigm. The book offers useful insights to statisticians, clinicians, regulatory affairs managers and decision-makers in the pharmaceutical industry who have a basic understanding of the drug-development process and the clinical trials conducted to support drug-marketing authorization. The authors provide software codes for select analytical approaches discussed in the book. The book includes enough technical details to allow statisticians to replicate the quantitative illustrations so that they can generate information to facilitate decision-making themselves. Weniger zeigen

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Produktinformationen

Technische Daten

Erscheinungsdatum

04.09.2021

Sprache

Englisch

EAN

9783030797300

Herausgeber

Springer International Publishing

Serien- oder Bandtitel

Springer Series in Pharmaceutical Statistics

Sonderedition

Nein

Autor

Christy Chuang-Stein, Simon Kirby

Seitenanzahl

342

Auflage

Einbandart

Gebundene Ausgabe

Schlagwörter

clinical trials, metric for decision, drug development, probability of study success, probability of product success, go/no go criteria, evidence-based decision, regulatory affairs

Thema-Inhalt

PBT - Wahrscheinlichkeitsrechnung und Statistik MKG - Pharmakologie

Höhe

235 mm

Breite

15.5 cm

Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH

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