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Applied Longitudinal Data Analysis for Epidemiology : A Practical Guide

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Title: Applied Longitudinal Data Analysis for Epidemiology : A Practical Guide
Description: In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.
Authors: Jos W. R. Twisk
Resource Type: eBook.
Subjects: Longitudinal method, Epidemiology--Statistical methods, Epidemiology--Research--Statistical methods, Epidemiology--Longitudinal studies
Categories: MEDICAL / Health Risk Assessment, MEDICAL / Epidemiology
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
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RelevancyScore: 985
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
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  Data: In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such as the paired t-test and summary statistics, but also more sophisticated techniques such as generalised estimating equations and random coefficient analysis. A distinction is made between longitudinal analysis with continuous, dichotomous, and categorical outcome variables. It should be stressed that the emphasis of the discussion lies on the interpretation of the different techniques and on the comparison of the results of different techniques. Furthermore, special chapters will deal with the analysis of two measurements, experimental studies and the problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages is provided. It is important to realise that this book is a practical guide and especially suitable for non-statisticians.
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  Data: <searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology--Statistical+methods%22">Epidemiology--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology--Research--Statistical+methods%22">Epidemiology--Research--Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemiology--Longitudinal+studies%22">Epidemiology--Longitudinal studies</searchLink>
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      – Code: 614.40727
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Epidemiology--Statistical methods
        Type: general
      – SubjectFull: Epidemiology--Research--Statistical methods
        Type: general
      – SubjectFull: Epidemiology--Longitudinal studies
        Type: general
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      – TitleFull: Applied Longitudinal Data Analysis for Epidemiology : A Practical Guide
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            NameFull: Jos W. R. Twisk
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2003
            – D: 04
              M: 02
              Type: profile
              Y: 2014
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              Value: 9780521819763
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              Value: 9780511061608
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