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Autor(en): 
  • Geraldine Rauch
  • Meinhard Kieser
  • Svenja Schüler
  • Planning and Analyzing Clinical Trials with Composite Endpoints 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Dezember 2018  
    Genre:  Schulbücher 
     
    62L05,62P10 / clinicaltrials / CompetingRisks / compositeendpoints / Medizinische Chemie, Pharmazeutische Chemie / MultipleTesting / samplesizecalculation / sequentialdesigns
    ISBN:  9783030088552 
    EAN-Code: 
    9783030088552 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 15 mm 
    Gewicht:  417 gr 
    Seiten:  272 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book addresses the most important aspects of how to plan and evaluate clinical trials with a composite primary endpoint to guarantee a clinically meaningful and valid interpretation of the results. Composite endpoints are often used as primary efficacy variables for clinical trials, particularly in the fields of oncology and cardiology. These endpoints combine several variables of interest within a single composite measure, and as a result, all variables that are of major clinical relevance can be considered in the primary analysis without the need to adjust for multiplicity. Moreover, composite endpoints are intended to increase the size of the expected effects thus making clinical trials more powerful. The book offers practical advice for statisticians and medical experts involved in the planning and analysis of clinical trials. For readers who are mainly interested in the application of the methods, all the approaches are illustrated with real-world clinical trial examples, and the software codes required for fast and easy implementation are provided. The book also discusses all the methods in the context of relevant guidelines related to the topic. To benefit most from the book, readers should be familiar with the principles of clinical trials and basic statistical methods.

      



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