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Autor(en): 
  • Matteo Quartagno
  • Jonathan W. Bartlett
  • Tim P. Morris
  • Angela M. Wood
  • Carpenter James R.
  • Kenward Michael G.
  • Multiple Imputation and its Application 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2023  
    Genre:  Schulbücher 
     
    Bayes-Verfahren / Bayesian Analysis / Biostatistics / Biostatistik / Clinical Trials / incomplete data sets / Klinische Studien / missing data solutions
    ISBN:  9781119756088 
    EAN-Code: 
    9781119756088 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 244 mm / B 170 mm / D 31 mm 
    Gewicht:  794 gr 
    Seiten:  464 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Multiple Imputation and its Application The most up-to-date edition of a bestselling guide to analyzing partially observed data In this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings. With an accessible and carefully structured presentation aimed at quantitative researchers, Multiple Imputation and its Application is illustrated with a range of examples and offers key mathematical details. The book includes a wide range of theoretical and computer-based exercises, tested in the classroom, which are especially useful for users of R or Stata. Readers will find: * A comprehensive overview of one of the most effective and popular methodologies for dealing with incomplete data sets * Careful discussion of key concepts * A range of examples illustrating the key ideas * Practical advice on using multiple imputation * Exercises and examples designed for use in the classroom and/or private study Written for applied researchers looking to use multiple imputation with confidence, and for methods researchers seeking an accessible overview of the topic, Multiple Imputation and its Application will also earn a place in the libraries of graduate students undertaking quantitative analyses.

      



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