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The Resource Applied longitudinal data analysis for epidemiology : a practical guide, Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Center and the Department of Health Sciences of the Vrije Universteit, Amsterdam

Applied longitudinal data analysis for epidemiology : a practical guide, Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Center and the Department of Health Sciences of the Vrije Universteit, Amsterdam

Label
Applied longitudinal data analysis for epidemiology : a practical guide
Title
Applied longitudinal data analysis for epidemiology
Title remainder
a practical guide
Statement of responsibility
Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Center and the Department of Health Sciences of the Vrije Universteit, Amsterdam
Creator
Subject
Genre
Language
eng
Summary
  • "This book discusses the most important techniques available for longitudinal data analysis, from simple techniques such as the paired t-test and summary statistics, to more sophisticated ones such as generalized estimating of equations and mixed model analysis. A distinction is made between longitudinal analysis with continuous, dichotomous and categorical outcome variables. The emphasis of the discussion lies in the interpretation and comparison of the results of the different techniques. The second edition includes new chapters on the role of the time variable and presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely rewritten. The analysis of data from experimental studies and the problem of missing data in longitudinal studies are discussed. Finally, an extensive overview and comparison of different software packages is provided. This practical guide is essential for non-statisticians and researchers working with longitudinal data from epidemiological and clinical studies"--
  • "The emphasis of this book lies more on the application of statistical techniques for longitudinal data analysis and not so much on the mathematical background. In most other books on the topic of longitudinal data analysis, the mathematical background is the major issue, which may not be surprising since (nearly) all the books on this topic have been written by statisticians. Although statisticians fully understand the difficult mathematical material underlying longitudinal data analysis, they often have difficulty in explaining this complex material in a way that is understandable for the researchers who have to use the technique or interpret the results. Therefore, this book is not written by a statistician, but by an epidemiologist. In fact, an epidemiologist is not primarily interested in the basic (difficult) mathematical background of the statistical methods, but in finding the answer to a specific research question; the epidemiologist wants to know how to apply a statistical technique and how to interpret the results. Owing to their different basic interests and different level of thinking, communication problems between statisticians and epidemiologists are quite common. This, in addition to the growing interest in longitudinal studies, initiated the writing of this book: a book on longitudinal data analysis, which is especially suitable for the "non-statistical" researcher (e.g. the epidemiologist). The aim of this book is to provide a practical guide on how to handle epidemiological data from longitudinal studies"--
Assigning source
  • Provided by publisher
  • Provided by publisher
Cataloging source
DLC
http://library.link/vocab/creatorDate
1962-
http://library.link/vocab/creatorName
Twisk, Jos W. R.
Illustrations
illustrations
Index
index present
LC call number
RA652.2.M3
LC item number
T95 2013
Literary form
non fiction
Nature of contents
bibliography
Series statement
Cambridge medicine
http://library.link/vocab/subjectName
  • Epidemiology
  • Epidemiology
  • Epidemiology
Label
Applied longitudinal data analysis for epidemiology : a practical guide, Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Center and the Department of Health Sciences of the Vrije Universteit, Amsterdam
Instantiates
Publication
Note
Previous edition: 2003
Bibliography note
Includes bibliographical references (pages 305-315) and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index
Control code
023657220
Dimensions
25 cm.
Edition
2nd ed.
Extent
xiv, 321 p.
Isbn
9781107699922
Lccn
2012050470
Media category
unmediated
Media MARC source
rdamedia
Other physical details
ill.
Label
Applied longitudinal data analysis for epidemiology : a practical guide, Jos W.R. Twisk, Department of Epidemiology and Biostatistics, Medical Center and the Department of Health Sciences of the Vrije Universteit, Amsterdam
Publication
Note
Previous edition: 2003
Bibliography note
Includes bibliographical references (pages 305-315) and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Machine generated contents note: Preface; Acknowledgements; 1. Introduction; 2. Study design; 3. Continuous outcome variables; 4. Continuous outcome variables - relationships with other variables; 5. The modelling of time; 6. Other possibilities for modelling longitudinal data; 7. Dichotomous outcome variables; 8. Categorical and 'count' outcome variables; 9. Analysis data from experimental studies; 10. Missing data in longitudinal studies; 11. Sample size calculations; 12. Software for longitudinal data analysis; 13. One step further; References; Index
Control code
023657220
Dimensions
25 cm.
Edition
2nd ed.
Extent
xiv, 321 p.
Isbn
9781107699922
Lccn
2012050470
Media category
unmediated
Media MARC source
rdamedia
Other physical details
ill.

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