Screen LibraryApplied longitudinal data analysis for medical science : a practical guide /
"In this book the most important methods available for longitudinal data analysis are discussed. This discussion includes simple methods such as the paired t-test and summary statistics, and also more sophisticated methods such as generalized estimating equations and mixed model analysis. A dis...
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| Main Authors: | |
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| Published: |
Cambridge University Press,
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| Publisher Address: | Cambridge, United Kingdom : |
| Publication Dates: | 2023. |
| Literature type: | Book |
| Language: | English |
| Edition: | Third edition. |
| Subjects: | |
| Summary: |
"In this book the most important methods available for longitudinal data analysis are discussed. This discussion includes simple methods such as the paired t-test and summary statistics, and also more sophisticated methods such as generalized estimating equations and mixed model analysis. A distinction is made between longitudinal data analysis with continuous, dichotomous, categorical and other outcome variables"-- |
| Item Description: | Preceded by Applied longitudinal data analysis for epidemiology / Jos W.R. Twisk. Second edition. 2013. |
| Carrier Form: | xii, 258 pages : illustrations ; 26 cm |
| Bibliography: | Includes bibliographical references (pages 243-250) and index. |
| ISBN: |
9781009288040 1009288040 9781009288033 1009288032 |
| Index Number: | RA652 |
| CLC: | R181.2-62 |
| Call Number: | R181.2-62/T974/3rd ed. |
| Contents: | Continuous outcome variables -- Continuous outcome variables : regression based methods -- Modelling of time -- Models to disentangle the between-and within-subjects relationship -- Causality in observational longitudinal studies -- Dichotomous outcome variables -- Categorical and count outcome variables -- Outcome variables with floor or ceiling effects -- Analysis of longitudinal intervention studies -- Missing data in longitudinal studies -- Sample size calculations -- Software for longitudinal data analysis. |