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Applied longitudinal data analysis for medical science = a practical guide /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied longitudinal data analysis for medical science/ Jos W.R. Twisk.
其他題名:	a practical guide /
作者:	Twisk, Jos W. R.,
出版者:	Cambridge :Cambridge University Press, : 2023.,
面頁冊數:	xii, 258 p. :ill., digital ; : 26 cm.;
附註:	This edition also issued in print: 2023.
標題:	Public health - Mathematical models. -
電子資源:	https://doi.org/10.1017/9781009288002
ISBN:	9781009288002

Applied longitudinal data analysis for medical science = a practical guide /
Twisk, Jos W. R.,1962-

Applied longitudinal data analysis for medical sciencea practical guide /[electronic resource] :Jos W.R. Twisk. - Third edition. - Cambridge :Cambridge University Press,2023. - xii, 258 p. :ill., digital ;26 cm.

This edition also issued in print: 2023.

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.

Specialized.

ISBN: 9781009288002

Standard No.: 10.1017/9781009288002doiSubjects--Topical Terms:

1461536
Public health
--Mathematical models.

LC Class. No.: RA652.2.M3 / T95 2023

Dewey Class. No.: 614.40727

National Library of Medicine Call No.: WA 950

Applied longitudinal data analysis for medical science = a practical guide /
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245 1 0 $a Applied longitudinal data analysis for medical science $h [electronic resource] : $b a practical guide / $c Jos W.R. Twisk.
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500 $a This edition also issued in print: 2023.
500 $a Previous edition: published as Applied longitudinal data analysis for epidemiology. 2013.
504 $a Includes bibliographical references and index.
520 8 $a 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.
521 $a Specialized.
588 $a Description based on online resource; title from PDF title page (viewed on May 3, 2023).
650 0 $a Public health $x Mathematical models. $3 1461536
650 0 $a Epidemiology $x Mathematical models. $3 883696
650 0 $a Epidemiology $x Statistical methods. $3 592904
650 0 $a Longitudinal method. $3 562081
856 4 0 $u https://doi.org/10.1017/9781009288002