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Autor(en): 
  • Per Winkel
  • Nien Fan Zhang
  • Statistical Development of Quality in Medicine 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2007  
    Genre:  Schulbücher 
     
    Allg. Medizin / Biometrics / Biometrie / Biostatistics / Biostatistik / Medical Science / Medizin / Statistics / Statistik
    ISBN:  9780470027776 
    EAN-Code: 
    9780470027776 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Statistics in Practice  
    Dimensionen:  H 229 mm / B 152 mm / D 20 mm 
    Gewicht:  528 gr 
    Seiten:  280 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The promotion of standards and guidelines to advance quality assurance and control is an integral part of the health care sector. Quantitative methods are needed to monitor, control and improve the quality of medical processes. Statistical Development of Quality in Medicine presents the statistical concepts behind the application of industrial quality control methods. Filled with numerous case studies and worked examples, the text enables the reader to choose the relevant control chart, to critically apply it, improve it if necessary, and monitor its stability. Furthermore, the reader is provided with the necessary background to critically assess the literature on the application of control charts and risk adjustment and to apply the findings. * Contains a user-friendly introduction, setting out the necessary statistical concepts used in the field. * Uses numerous real-life case studies from the literature and the authors' own research as the backbone of the text. * Provides a supplementary website featuring problems and answers drawn from the book, alongside examples in Statgraphics. The accessible style of Statistical Development of in Clinical Medicine invites a large readership. It is primarily aimed at health care officials, and personnel responsible for developing and controlling the quality of health care services. However, it is also ideal for statisticians working with health care problems, diagnostic and pharmaceutical companies, and graduate students of quality control.

      



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