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Autor(en): 
  • David G. Kleinbaum
  • Mitchel Klein
  • Logistic Regression: A Self-Learning Text 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2010  
    Genre:  Schulbücher 
     
    B / Epidemiologie und medizinische Statistik / Epidemiology / Epidemiology & medical statistics / Mathematics and Statistics / Social research & statistics / Sozialforschung und -statistik / Statistics
    ISBN:  9781441917416 
    EAN-Code: 
    9781441917416 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Statistics for Biology and Hea  
    Dimensionen:  H 254 mm / B 178 mm / D  
    Gewicht:  3210 gr 
    Seiten:  702 
    Illustration:  XVII, 702 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    This very popular textbook is now in its third edition. Whether students or working professionals, readers appreciate its unique "lecture book" format. They often say the book reads like they are listening to an outstanding lecturer. This edition includes three new chapters, an updated computer appendix, and an expanded section about modeling guidelines that consider causal diagrams.

    Like previous editions, this textbook provides a highly readable description of fundamental and more advanced concepts and methods of logistic regression. It is suitable for researchers and statisticians in medical and other life sciences as well as academicians teaching second-level regression methods courses.

    The new chapters are:

    ¿ Additional Modeling Strategy Issues, including strategy with several exposures, screening variables, collinearity, influential observations and multiple-testing

    ¿ Assessing Goodness to Fit for Logistic Regression

    ¿ Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves

    The Computer Appendix provides step-by-step instructions for using STATA (version 10.0), SAS (version 9.2), and SPSS (version 16) for procedures described in the main text.

    David Kleinbaum is Professor of Epidemiology at Emory University Rollins School of Public Health in Atlanta, Georgia. Dr. Kleinbaum is internationally known for his innovative textbooks and teaching on epidemiological methods, multiple linear regression, logistic regression, and survival analysis. He has taught more than 200 courses worldwide. The recipient of numerous teaching awards, he received the first Association of Schools of Public Health Pfizer Award for Distinguished Career Teaching in 2005.

    Mitchel Klein is Research Assistant Professor with a joint appointment in the Environmental and Occupational Health Department and the Epidemiology Department at Emory University Rollins School of Public Health. He has successfullydesigned and taught epidemiologic methods physicians at Emory's Master of Science in Clinical Research Program. Dr. Klein is co-author with Dr. Kleinbaum of the second edition of Survival Analysis-A Self-Learning Text.

      



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