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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied longitudinal data analysis for medical science :/ Jos W.R. Twisk.
Reminder of title:	a practical guide /
Author:	Twisk, Jos W. R.,
Description:	1 online resource (xii, 258 pages) :illustrations (black and white), digital, PDF file(s) :
Notes:	This edition also issued in print: 2023.
Subject:	Epidemiology - Statistical methods. -
Online resource:	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 science :a practical guide /Jos W.R. Twisk. - Third edition. - 1 online resource (xii, 258 pages) :illustrations (black and white), digital, PDF file(s)

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: 9781009288002No price

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

592904
Epidemiology
--Statistical methods.

LC Class. No.: RA652.2.M3 / T9 2023

Dewey Class. No.: 614.40727

Applied longitudinal data analysis for medical science : = a practical guide /
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240 1 0 $a Applied longitudinal data analysis for epidemiology
245 1 0 $a Applied longitudinal data analysis for medical science : $b a practical guide / $c Jos W.R. Twisk.
250 $a Third edition.
264 1 $a Cambridge : $b Cambridge University Press, $c 2023.
300 $a 1 online resource (xii, 258 pages) : $b illustrations (black and white), digital, PDF file(s)
336 $a text $b txt $2 rdacontent
336 $a still image $b sti $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
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 Epidemiology $x Statistical methods. $3 592904
650 0 $a Epidemiology $x Longitudinal studies. $3 1442777
776 0 8 $i Print version : $z 9781009288040
856 4 0 $u https://doi.org/10.1017/9781009288002