Articles liés à Applied Medical Statistics Using SAS

Applied Medical Statistics Using SAS - Couverture rigide

Der, Geoff; Everitt, Brian S.

 
9781439867976: Applied Medical Statistics Using SAS
Couverture rigide
ISBN 10 : 1439867976 ISBN 13 : 9781439867976
Editeur : Chapman & Hall/CRC, 2012

Synopsis

Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal and survival data analysis, missing data, generalized additive models (GAMs), and Bayesian methods. The book focuses on performing these analyses using SAS, the software package of choice for those analysing medical data.

Features

  • Covers the planning stage of medical studies in detail; several chapters contain details of sample size estimation
  • Illustrates methods of randomisation that might be employed for clinical trials
  • Covers topics that have become of great importance in the 21st
      century, including Bayesian methods and multiple imputation

    • Its breadth and depth, coupled with the inclusion of all the SAS code, make this book ideal for practitioners as well as for a graduate class in biostatistics or public health.

    Complete data sets, all the SAS code, and complete outputs can be found on an associated website: http://support.sas.com/amsus

    Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    Geoff Der, Brian S. Everitt

    À propos de la quatrième de couverture

    Designed for medical statisticians, this intermediate-level reference explores the use of SAS for analyzing medical data. A chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains an example-based approach, with SAS code and output included throughout and available online.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    Chapman & Hall/CRC
    Date d'édition
    2012
    Langue
    anglais
    ISBN 10 
    1439867976
    ISBN 13 
    9781439867976
    Reliure
    Relié
    Nombre de pages
    541
    Coordonnées du fabricant
    non disponible
    Personne responsable
    GPSR Kontakt
    gpsr@libri.de

    Europaallee 1
    Bad Hersfeld
    36244
    Allemagne