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Epidemiology Study Design And Data Analysis 3Rd Edition at Meripustak

Epidemiology Study Design And Data Analysis 3Rd Edition by Woodward, Taylor & Francis (CRC)

Books from same Author: Woodward

Books from same Publisher: Taylor & Francis (CRC)

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  • General Information  
    Author(s)Woodward
    PublisherTaylor & Francis (CRC)
    Edition3
    ISBN9781439839706
    Pages898
    BindingHardcover
    LanguageEnglish
    Publish YearJanuary 2014

    Description

    Taylor & Francis (CRC) Epidemiology Study Design And Data Analysis 3Rd Edition by Woodward

    Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding.


    Key Features:-

    • New chapter on risk scores and clinical decision rules
    • New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing v
    • New sections on binomial regression models, competing risk, information criteria, propensity scoring
    • Many more exercises and examples using both Stata and SAS
    • More than 60 new figures


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