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  • 1
    Online Resource
    Online Resource
    Applied multilevel analysis : a practical guide (2006)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9960119415702883
    Format: 1 online resource (xii, 184 pages) : , digital, PDF file(s).
    ISBN: 0-511-27984-1 , 1-316-09942-3 , 0-511-61080-7
    Series Statement: Practical guides to biostatistics and epidemiology
    Content: This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can reanalyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , English
    Additional Edition: ISBN 0-521-61498-8
    Additional Edition: ISBN 0-521-84975-6
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (lizenzpflichtig)
    URL: https://doi.org/10.1017/CBO9780511610806
    URL: https://doi.org/10.1017/CBO9780511610806
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    Stabi Berlin
    HU Berlin
    FU Berlin
    UB Potsdam
  • 2
    Online Resource
    Online Resource
    Applied longitudinal data analysis for medical science : a practical guide (2023)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9961051794902883
    Format: 1 online resource (xii, 258 pages) : , illustrations (black and white), digital, PDF file(s)
    Edition: Third edition.
    ISBN: 1-009-28801-6 , 1-009-28802-4 , 1-009-28800-8
    Uniform Title: Applied longitudinal data analysis for epidemiology
    Content: This updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided.
    Note: This edition also issued in print: 2023. , Previous edition: published as Applied longitudinal data analysis for epidemiology. 2013. , 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.
    Additional Edition: ISBN 9781009288040
    Language: English
    Subjects: Medicine
    RVK:
    XF 3400
    DOI: 10.1017/9781009288002
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: lizenzpflichtig
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    FU Berlin
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    BTU Cottbus
  • 3
    Online Resource
    Online Resource
    Applied longitudinal data analysis for epidemiology : a practical guide (2013)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9960120049802883
    Format: 1 online resource (xiv, 321 pages) : , digital, PDF file(s).
    Edition: Second edition.
    ISBN: 1-107-06535-6 , 1-316-09031-0 , 1-107-05691-8 , 1-107-05475-3 , 1-107-05804-X , 1-107-05931-3 , 1-139-34283-5 , 1-107-05581-4
    Series Statement: Cambridge medicine Applied longitudinal data analysis for epidemiology
    Content: 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.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , 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. , English
    Additional Edition: ISBN 1-107-69992-4
    Additional Edition: ISBN 1-107-03003-X
    Language: English
    URL: Volltext
    URL: https://doi.org/10.1017/CBO9781139342834
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    Online Access
    HU Berlin
    FU Berlin
    UB Potsdam
  • 4
    Online Resource
    Online Resource
    Applied mixed model analysis : a practical guide (2019)
    Cambridge :Cambridge University Press,
    Details
    UID:
    almafu_9960119158002883
    Format: 1 online resource (xii, 235 pages) : , digital, PDF file(s).
    Edition: Second edition.
    ISBN: 1-108-57377-0 , 1-108-63566-0 , 1-108-57539-0
    Series Statement: Practical guides to biostatistics and epidemiology
    Content: This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.
    Note: Title from publisher's bibliographic system (viewed on 15 May 2019).
    Additional Edition: ISBN 1-108-48057-8
    Language: English
    URL: https://doi.org/10.1017/9781108635660
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    Online Resource
    HU Berlin
    FU Berlin
  • 5
    Online Resource
    Online Resource
    Applied mixed model analysis : a practical guide (2019)
    Cambridge ; New York, NY : Cambridge University Press
    Details
    UID:
    b3kat_BV046030019
    Format: 1 Online-Ressource (xii, 235 pages)
    ISBN: 9781108635660
    Series Statement: Practical guides to biostatistics and epidemiology
    Content: This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields
    Note: Continues, in part: Applied multilevel analysis : a practical guide (Cambridge, UK ; New York : Cambridge University Press, 2006) , Includes bibliographical references and index
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-1-108-48057-4
    Additional Edition: Erscheint auch als Druck-Ausgabe, Paperback ISBN 978-1-108-72776-1
    Language: English
    DOI: 10.1017/9781108635660
    URL: Volltext  (URL des Erstveröffentlichers)
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    BTU Cottbus
  • 6
    Online Resource
    Online Resource
    Applied mixed model analysis : a practical guide (2019)
    Cambridge : Cambridge University Press
    Details
    UID:
    gbv_1667766120
    Format: 1 Online-Ressource (xii, 235 Seiten)
    Edition: 2nd edition
    ISBN: 9781108635660 , 1108635660
    Series Statement: Practical guides to biostatistics and epidemiology
    Content: This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields.
    Note: Continues, in part: Applied multilevel analysis : a practical guide (Cambridge, UK ; New York : Cambridge University Press, 2006) , Includes bibliographical references and index
    Additional Edition: ISBN 9781108480574
    Additional Edition: ISBN 1108480578
    Additional Edition: ISBN 9781108727761
    Additional Edition: ISBN 110872776X
    Additional Edition: Erscheint auch als Druck-Ausgabe Twisk, Jos W. R., 1962 - Applied mixed model analysis Cambridge, United Kingdom : Cambridge University Press, 2019 ISBN 9781108480574
    Additional Edition: ISBN 9781108727761
    Language: English
    Subjects: Mathematics , Psychology
    RVK:
    SK 840
    RVK:
    CM 4100
    Keywords: Statistik ; Datenanalyse ; Gemischtes Modell
    DOI: 10.1017/9781108635660
    URL: Volltext  (lizenzpflichtig)
    URL: Inhaltstext
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    Online Access
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    UB Potsdam
  • 7
    Book
    Book
    Applied multilevel analysis : a practical guide (2006)
    Cambridge [u.a.] : Cambridge University Press
    Details
    UID:
    gbv_503807060
    Format: XII, 184 S. , graph. Darst.
    ISBN: 0521849756 , 0521614988 , 9780521849753 , 9780521614986
    Series Statement: Practical guides to biostatistics and epidemiology
    Note: Hier auch später erschienene, unveränderte Nachdrucke , Includes index. - Includes Internet access
    Language: English
    Subjects: Psychology
    RVK:
    CM 4000
    Keywords: Multi-level-Verfahren ; Statistik ; Anwendung
    URL: Inhaltsverzeichnis
    URL: http://www.loc.gov/catdir/enhancements/fy0702/2006299215-t.html
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  • 8
    Online Resource
    Online Resource
    An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group (2019)
    Berlin : Humboldt-Universität zu Berlin
    Details
    UID:
    edochu_18452_21588
    Format: 1 Online-Ressource (8 Seiten)
    Content: Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses. Some methodologists claim that a one-stage individual-participant data (IPD) mega-analysis can be superior to a two-stage aggregated data meta-analysis, since more detailed computations can be performed in a mega-analysis. Before definitive conclusions regarding the performance of either method can be drawn, it is necessary to critically evaluate the methodology of, and results obtained by, meta- and mega-analyses. Methods: Here, we compare the inverse variance weighted random-effect meta-analysis model with a multiple linear regression mega-analysis model, as well as with a linear mixed-effects random-intercept mega-analysis model, using data from 38 cohorts including 3,665 participants of the ENIGMA-OCD consortium. We assessed the effect sizes and standard errors, and the fit of the models, to evaluate the performance of the different methods. Results: The mega-analytical models showed lower standard errors and narrower confidence intervals than the meta-analysis. Similar standard errors and confidence intervals were found for the linear regression and linear mixed-effects random-intercept models. Moreover, the linear mixed-effects random-intercept models showed better fit indices compared to linear regression mega-analytical models. Conclusions: Our findings indicate that results obtained by meta- and mega-analysis differ, in favor of the latter. In multi-center studies with a moderate amount of variation between cohorts, a linear mixed-effects random-intercept mega-analytical framework appears to be the better approach to investigate structural neuroimaging data.
    Content: Peer Reviewed
    In: Lausanne : Frontiers Media S.A., 12
    Language: English
    DOI: 10.3389/fninf.2018.00102
    DOI: 10.18452/20854
    URN: urn:nbn:de:kobv:11-110-18452/21588-7
    URL: Volltext  (kostenfrei)
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    Fulltext
    HU Berlin
  • 9
    Book
    Book
    Applied mixed model analysis : a practical guide (2019)
    Cambridge, United Kingdom : Cambridge University Press
    Details
    UID:
    gbv_1663833222
    Format: xii, 235 Seiten , Illustrationen
    ISBN: 9781108480574 , 9781108727761
    Series Statement: Practical guides to biostatistics and epidemiology
    Additional Edition: ISBN 9781108575393
    Additional Edition: Erscheint auch als Online-Ausgabe Twisk, Jos W. R., 1962 - Applied mixed model analysis Cambridge : Cambridge University Press, 2019 ISBN 9781108635660
    Additional Edition: ISBN 1108635660
    Language: English
    Subjects: Mathematics , Psychology
    RVK:
    SK 840
    RVK:
    CM 4100
    Keywords: Statistik ; Datenanalyse ; Gemischtes Modell
    DOI: 10.1017/9781108635660
    URL: Inhaltstext
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  • 10
    Article
    Article
    Steeling or sensitizing? a longitudinal examination of how ongoing accumulation of negative life events affects depressive symptoms in older adults (2021)
    Show associated volumes
    Details
    UID:
    gbv_1795854928
    ISSN: 1079-5014
    In: The journals of gerontology / B, Cary, NC : Oxford Univ. Pr., 1995, 76(2021), 10, Seite 2041-2053, 1079-5014
    In: volume:76
    In: year:2021
    In: number:10
    In: pages:2041-2053
    Language: English
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