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  • MPI Ethno. Forsch.  (2)
  • HU Berlin  (1)
  • DNB
  • Kalliope (Nachlässe)
  • 2005-2009  (2)
  • Electronic books.
  • Mathematics  (2)
  • 1
    Online Resource
    Online Resource
    Hoboken, N.J. :Wiley-Interscience,
    In:  EBL
    ISBN: 9780470258019 , 0470258012 , 9781118211588 , 1118211588 , 9780470258002 , 0470258004 , 0471754994 , 9780471754992
    Language: English
    Pages: 1 online resource (xiii, 392 pages) : , illustrations
    Edition: 2nd ed.
    Series Statement: Wiley series in probability and statistics
    Parallel Title: Print version: Hosmer, David W. Applied survival analysis.
    Titel der Quelle: EBL
    DDC: 610.72/7
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    Keywords: Medicine Research ; Statistical methods. ; Medical sciences Statistical methods ; Computer programs. ; Regression analysis Data processing. ; Prognosis Statistical methods. ; Logistic distribution. ; Survival Analysis. ; Logistic Models. ; Mathematical Computing. ; Prognosis. ; Regression Analysis. ; Médecine Recherche ; Méthodes statistiques. ; Sciences de la santé Méthodes statistiques ; Logiciels. ; Analyse de régression Informatique. ; Pronostics (Pathologie) Méthodes statistiques. ; Logistic distribution. ; Medicine Research ; Statistical methods. ; Prognosis Statistical methods. ; Regression analysis Data processing. ; Ereignisdatenanalyse ; Regressionsanalyse ; Regressionsmodell ; Statistische Analyse ; Zusammengesetzte Verteilung ; Regressionsanalys. ; Medicinsk statistik. ; Electronic book. ; Electronic books.
    Abstract: "Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increased considerably in all areas of scientific inquiry, mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second Edition provides a comprehensive and up-to-date introduction to regression modeling for time-to-event data in medical, epidemiological, biostatistical, and other health-related research." "Analyses throughout the text are performed using Stata Version 9, and an accompanying FTP site contains the data sets used in the book. Applied Survival Analysis, Second Edition is an ideal book for graduate-level courses in biostatistics, statistics, and epidemiologic methods. It also serves as a reference for practitioners and resarchers in any health-related field or for professionals in insurance and government."--Jacket.
    Description / Table of Contents: Front Matter -- Introduction to Regression Modeling of Survival Data -- Descriptive Methods for Survival Data -- Regression Models for Survival Data -- Interpretation of a Fitted Proportional Hazards Regression Model -- Model Development -- Assessment of Model Adequacy -- Extensions of the Proportional Hazards Model -- Parametric Regression Models -- Other Models and Topics -- Appendix 1: The Delta Method -- Appendix 2: An Introduction to the Counting Process Approach to Survival Analysis -- Appendix 3: Percentiles for Computation of the Hall and Wellner Confidence Band -- References -- Index -- Wiley Series in Probability and Statistics.
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Boca Raton [u.a.] : Chapman & Hall/CRC
    ISBN: 0203499891 , 9780203499894
    Language: English
    Pages: Online-Ressource
    Series Statement: EBSCOhost eBook Collection
    Parallel Title: Buchausg. u.d.T. Verzani, John Using R for introductory statistics
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    Keywords: Statistics Data processing ; R (Computer program language) ; Statistics Data processing ; R (Computer program language) ; R Computer program language ; Statistics Data processing. ; R ; Statistik ; Electronic books. ; Electronic books ; Lehrbuch ; R ; Statistik ; R ; Statistik
    Abstract: R is a free software package that has seen a huge increase in users within the last five years and now is used increasingly in introductory classes. There are few books covering introductory statistics using R, and this book fills a gap as a true ...beginner... book. With emphasis on data analysis and practical examples Using R for Introductory Statistics encourages understanding rather than focusing on learning the underlying language. It includes a large collection of problem sets with solutions and numerous practical examples from a broad range of scientific disciplines. It comes complete w
    Description / Table of Contents: Book Cover; Half-Title; Title; Copyright; Content; Preface; 1. Data; 2. Univariate Data; 3. Bivariate data; 4. Multivariate Data; 5. Describing Populations; 6. Simulation; 7. Confidence Intervals; 8. Significance Tests; 9. Goodness of Fit; 10. Linear Regression; 11. Analysis of Variance; 12. Two Extensions of the Linear Model; Appendix A Getting, Installing, and Running R; Appendix B Graphical User Interfaces and R; Appendix C Teaching with R; Appendix D More on Graphics with R; Appendix E Programming in R; Index;
    Note: Includes index , Electronic reproduction, Boulder, Colo : NetLibrary, 2006
    URL: Volltext  (Deutschlandweit zugänglich)
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