Applied longitudinal data analysis for medical science: a practical guide
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 an...
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2023
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Ausgabe: | Third edition |
Schlagworte: | |
Online-Zugang: | DE-12 DE-634 DE-92 DE-19 Volltext |
Zusammenfassung: | 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 |
Beschreibung: | This edition also issued in print: 2023. - Previous edition: published as Applied longitudinal data analysis for epidemiology. 2013. - Includes bibliographical references and index |
Beschreibung: | 1 Online-Ressource (xii, 258 Seiten) Illustrationen |
ISBN: | 9781009288002 |
DOI: | 10.1017/9781009288002 |
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author | Twisk, Jos W. R. 1962- |
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author_facet | Twisk, Jos W. R. 1962- |
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dewey-full | 614.40727 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 614 - Forensic medicine; incidence of disease |
dewey-raw | 614.40727 |
dewey-search | 614.40727 |
dewey-sort | 3614.40727 |
dewey-tens | 610 - Medicine and health |
discipline | Medizin |
discipline_str_mv | Medizin |
doi_str_mv | 10.1017/9781009288002 |
edition | Third edition |
format | Electronic eBook |
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illustrated | Not Illustrated |
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institution | BVB |
isbn | 9781009288002 |
language | English |
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spelling | Twisk, Jos W. R. 1962- (DE-588)173605362 aut Applied longitudinal data analysis for epidemiology Applied longitudinal data analysis for medical science a practical guide Jos W.R. Twisk Third edition Cambridge Cambridge University Press 2023 1 Online-Ressource (xii, 258 Seiten) Illustrationen txt rdacontent sti rdacontent c rdamedia cr rdacarrier This edition also issued in print: 2023. - Previous edition: published as Applied longitudinal data analysis for epidemiology. 2013. - Includes bibliographical references and index 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 Epidemiology / Statistical methods Epidemiology / Longitudinal studies Längsschnittuntersuchung (DE-588)4034036-3 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 gnd rswk-swf Medizinische Statistik (DE-588)4127563-9 s Längsschnittuntersuchung (DE-588)4034036-3 s DE-604 Erscheint auch als Druck-Ausgabe 978-1-00-928804-0 https://doi.org/10.1017/9781009288002 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Twisk, Jos W. R. 1962- Applied longitudinal data analysis for medical science a practical guide Epidemiology / Statistical methods Epidemiology / Longitudinal studies Längsschnittuntersuchung (DE-588)4034036-3 gnd Medizinische Statistik (DE-588)4127563-9 gnd |
subject_GND | (DE-588)4034036-3 (DE-588)4127563-9 |
title | Applied longitudinal data analysis for medical science a practical guide |
title_alt | Applied longitudinal data analysis for epidemiology |
title_auth | Applied longitudinal data analysis for medical science a practical guide |
title_exact_search | Applied longitudinal data analysis for medical science a practical guide |
title_exact_search_txtP | Applied longitudinal data analysis for medical science a practical guide |
title_full | Applied longitudinal data analysis for medical science a practical guide Jos W.R. Twisk |
title_fullStr | Applied longitudinal data analysis for medical science a practical guide Jos W.R. Twisk |
title_full_unstemmed | Applied longitudinal data analysis for medical science a practical guide Jos W.R. Twisk |
title_short | Applied longitudinal data analysis for medical science |
title_sort | applied longitudinal data analysis for medical science a practical guide |
title_sub | a practical guide |
topic | Epidemiology / Statistical methods Epidemiology / Longitudinal studies Längsschnittuntersuchung (DE-588)4034036-3 gnd Medizinische Statistik (DE-588)4127563-9 gnd |
topic_facet | Epidemiology / Statistical methods Epidemiology / Longitudinal studies Längsschnittuntersuchung Medizinische Statistik |
url | https://doi.org/10.1017/9781009288002 |
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