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Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)

Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)

Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series) Hardback - 2014

by Chang, Mark

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Chapman and Hall/CRC, 2014-12-01. Second. Hardcover. Very Good/No Dust Jacket Issued. 9x6x1. 2nd edition. Text unmarked and clean, pages bright. Binding is tight, sturdy, and square. Bumping to head of spine, light bumping to bottom outer corner, otherwise shelfwear is very minor. Ships same or next business day from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may apply for international shipping.
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Details

  • Title Adaptive Design Theory and Implementation Using SAS and R (Chapman & Hall/CRC Biostatistics Series)
  • Author Chang, Mark
  • Binding Hardback
  • Edition Second
  • Condition Used - Very good
  • Pages 706
  • Volumes 1
  • Language ENG
  • Publisher Chapman and Hall/CRC
  • Publication date 2014-12-01
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 319587
  • ISBN 9781482256598 / 1482256592
  • Weight 2.46 lbs (1.12 kg)
  • Dimensions 9.3 x 6.2 x 1.4 in (23.62 x 15.75 x 3.56 cm)
  • Size 9x6x1
  • Themes
    • Aspects (Academic): Clinical (Medicine)
  • Category Mathematics
  • Library of Congress subjects R (Computer program language), Clinical trials - Statistical methods
  • Dewey Decimal Code 610.72
  • Quantity available 1
  • Bookseller catalogues Mathematics

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From the publisher

Get Up to Speed on Many Types of Adaptive Designs

Since the publication of the first edition, there have been remarkable advances in the methodology and application of adaptive trials. Incorporating many of these new developments, Adaptive Design Theory and Implementation Using SAS and R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials.

New to the Second Edition

  • Twelve new chapters covering blinded and semi-blinded sample size reestimation design, pick-the-winners design, biomarker-informed adaptive design, Bayesian designs, adaptive multiregional trial design, SAS and R for group sequential design, and much more
  • More analytical methods for K-stage adaptive designs, multiple-endpoint adaptive design, survival modeling, and adaptive treatment switching
  • New material on sequential parallel designs with rerandomization and the skeleton approach in adaptive dose-escalation trials
  • Twenty new SAS macros and R functions
  • Enhanced end-of-chapter problems that give readers hands-on practice addressing issues encountered in designing real-life adaptive trials

Covering even more adaptive designs, this book provides biostatisticians, clinical scientists, and regulatory reviewers with up-to-date details on this innovative area in pharmaceutical research and development. Practitioners will be able to improve the efficiency of their trial design, thereby reducing the time and cost of drug development.

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