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Autor(en): 
  • Nan Xiao
  • Keaven M. Anderson
  • Group Sequential Design in R: A Practical Guide to the gsDesign Web Interface 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (September 2026)  
    Genre:  Schulbücher 
     
    • Clinical trials / • Conditional power / • Group sequential design / • Interim analysis / • Sample size adaptation / • Spending functions / • Testing multiple hypotheses / Biostatistics
    ISBN:  9783032315892 
    EAN-Code: 
    9783032315892 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Seiten:  162 
    Illustration:  VIII, 162 p. 106 illus., 74 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:
    This book provides a practical, hands-on guide to designing group sequential clinical trials using the gsDesign web interface, built on the R package gsDesign. Group sequential designs allow pre-planned interim analyses during a clinical trial, offering the potential to stop early for efficacy or futility while maintaining control of the Type I error rate. The web interface enables users to generate flexible group sequential designs using only a web browser, with no need for specialized statistical software.
    The book covers the full range of endpoint types supported by the interface, including time-to-event, binomial, and normal outcomes, with extensive worked examples throughout. Starting from the basics of converting a fixed design to a group sequential design, the presentation progresses through spending function families, information-based designs, and various testing configurations including two-sided, one-sided, and asymmetric designs with binding or non-binding futility bounds. Practical features such as saving and restoring designs, generating reproducible R Markdown reports, and updating bounds at the time of analysis are demonstrated in detail. An introduction to R coding with the gsDesign package extends the coverage to additional topics including conditional and predictive power, repeated confidence intervals, and sample size adaptation methods. Primarily written for biostatisticians and clinical trialists in academia and the pharmaceutical industry, the book keeps mathematical detail to a minimum, making group sequential design methods accessible to practitioners with a basic statistical background.

      



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