Cited by 594Statistical Methods and Bayesian InferenceStatistical Methods in EpidemiologyStatistical Methods in Clinical Trials

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Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide

Twisk, Jos W. R.·2013·Cambridge University Press eBooks

DOI 10.1017/cbo9781139342834

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Abstract

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.

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“GEE is one of the longitudinal methods that allows for longitudinal relationship analysis using all available longitudinal data, without summarizing the longitudinal development of each subject into one value (Hardin and Hilbe 2002; Twisk 2013).”
Method
An RCT of acute health effects in COPD-patients after passive vape exposure from e-cigarettes
Laursen, K. R., Bønløkke, J. H., Bendstrup, E. M., Bilde, M., Glasius, M., Gutzke, V. H., Moosakutty, S. P., Olin, A., Ravn, P., Østergaard, K., et al. (2020) · European Clinical Respiratory Journal · doi:10.1080/20018525.2020.1861580 · Cited by 20
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Method
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MethodInfluential
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“…effect (Cohen’s d = 0.5), assuming a within-subject correlation of 0.295 (taken from our BGB EF training pilot study in very preterm, Aarnoudse-Moens et al., 2018), a power of 80% and a significance level of 0.05, 39 children in each intervention arm were needed (Twisk, 2013).”
MethodInfluential
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Evaluation of the Impact and Implementation of Social Prescribing in Primary Healthcare Units in Lisbon: A Mixed-Methods Study Protocol
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“To assess the degree of comparability between the completer samples and the attrition samples, we applied logistic regressions to assess if gender, married/cohabitation/single, age and psychological distress at t2 predicted attrition or participation at t3 (Twisk, 2007).”
BackgroundMethod
Development and preliminary evaluation of culturally specific web‐based intervention for parents of adolescents
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“To examine the changes in outcome variables overtime, we used a mixed effect model (Gibbons et al. 2010, Twisk 2013).”
Method
Effects of Conversion to a Bicarbonate/Lactate-Buffered, Neutral-PH, LOW-GDP PD Regimen in Prevalent PD: A 2-Year Randomized Clinical Trial
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Supplementation‐induced increase in circulating omega‐3 serum levels is not associated with a reduction in depressive symptoms: Results from the MooDFOOD depression prevention trial
Thesing, C. S., Milaneschi, Y., Bot, M., Brouwer, I. A., Owens, M., Hegerl, U., Gili, M., Roca, M., Kohls, E., Watkins, E. R., et al. (2020) · Depression and Anxiety · doi:10.1002/da.23092 · Cited by 15
“As suggested by Twisk (2013), we used modeling of change scores for both PUFA levels and depression severity (6‐month follow‐up values minus baseline values, and 12‐month follow‐up values minus 6‐month follow‐up values) to create variables reflecting within‐subject change over the two blocks of…”
Method
The Contribution of Professional Youth Work to the Personal Development and Social Participation of Socially Vulnerable Youngsters: A Dutch Longitudinal Cohort Study
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“While we used the most appropriate analysis technique to handle missing data (Twisk, 2013), it may have affected the results.”
Method
Effect of dust exposure and nitrogen oxides on lung function parameters of German coalminers: a longitudinal study applying GEE regression 1974–1998
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Cumulative Effects of Mothers’ Risk and Promotive Factors on Daughters’ Disruptive Behavior
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“A time-lagged model was used in which independent variables (including prior girls’ disruptive behavior) were lagged by 1 year (T-1) in relation to the dependent variable assessed at time T (Twisk 2003).”
Outcomes of chemotherapy-induced (febrile) neutropenia prophylaxis with biosimilar filgrastim (Zarzio®) initiated “same-day” (< 24 h), “per-guidelines” (24–72 h), and “late” (> 72 h): findings from the MONITOR-GCSF study
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“New statistical techniques have been developed to analyse longitudinal relationships that allow for the use of all available longitudinal data (Diggle, Heagerty, Liang, & Zeger, 2014; Goldstein, 2011; Twisk, 2013).”
Method
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“Note that adding the SMBQ-lag in the models removes the cross-sectional part from the analyses (Twisk 2003).”
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“Participation of 63 children was sufficient to guarantee .80 power (α = .05) to detect MPH effects (Twisk, 2013).”
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Who benefits from living in a couple?
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On Bayesian modeling of censored data in JAGS
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Authors: Twisk, J. W. R.
Affiliations: Vrije Universiteit Amsterdam (NL)
Corresponding author: Twisk, Jos W. R.
ORCID: Twisk, Jos W. R.
Venue: Cambridge University Press eBooks
Publisher: Cambridge University Press
Published: 2013-05-05
DOI: 10.1017/cbo9781139342834
OpenAlex: W4251962509
Cited by: 593
References: 0
Citations by year: 2026: 45 · 2025: 34 · 2024: 47 · 2023: 39 · 2022: 48 · 2021: 48 · 2020: 55 · 2019: 66 · 2018: 36 · 2017: 36 · 2016: 33 · 2015: 33 · 2014: 14 · 2013: 8
FWCI: 6.66
Type: book
Language: en
Open access: closed
Licence: www.cambridge.org/core/terms (unspecified)
Locations: Cambridge University Press eBooks (publishedVersion)
Topics: Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Keywords: longitudinal analysis, generalized estimating equations, mixed models, paired t-test, summary statistics, time variable, experimental study, missing data, statistical software comparison, epidemiology

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Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide

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