Introduction to Adaptive Designs With Applications to Clinical - Trials Using

This book presents an up-to-date, accessible, and authoritative look into the rapidly emerging study of statistical adaptive design. Employing the R language throughout, it emphasizes the usefulness of adaptive design methods and technology in public health and research settings through practical examples and plentiful exercises. Special focus is on adaptive late-stage clinical trial designs as extensions of the highly successful group sequential methods that have been applied for more than two decades. It is the first elementary text on the subject matter that is aimed at clinicians, investigators, credit rating analysts, medical writers, regulatory affairs specialists, and applied statisticians.

About the author

Michael R. Chernick, PhD, is the Assistant Director of Biostatistics at Novo Nordisk Pharmaceuticals, Inc., in Princeton, New Jersey. He is the author of Bootstrap Methods: A Practitioner's Guide.

Summary

This book presents an up-to-date, accessible, and authoritative look into the rapidly emerging study of statistical adaptive design. Employing the R language throughout, it emphasizes the usefulness of adaptive design methods and technology in public health and research settings through practical examples and plentiful exercises. Special focus is on adaptive late-stage clinical trial designs as extensions of the highly successful group sequential methods that have been applied for more than two decades. It is the first elementary text on the subject matter that is aimed at clinicians, investigators, credit rating analysts, medical writers, regulatory affairs specialists, and applied statisticians.

Product details

• Authors: Kenneth N. Anderson, Anderson Kenneth N., Michael R. Chernick, Michael R. Anderson Chernick, Chernick Michael R.
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Release: 28.12.2012, delayed
• EAN: 9780470404454
• ISBN: 978-0-470-40445-4
• No. of pages: 384
• Series: Statistics in Practice; Statistics in Practice
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Statistik, Statistics, Klinische Studien, Biostatistik, Public Health, Biostatistics, Health & Social Care, Gesundheits- u. Sozialwesen, Public Health General, Allg. Public Health, Clinical Trials