2013
DOI: 10.6000/1929-6029.2013.02.04.7
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Longitudinal Data Analysis of Symptom Score Trajectories Using Linear Mixed Models in a Clinical Trial

Abstract: In clinical trials, longitudinal data are often analyzed using T-tests, anovas or ancovas instead of the more powerful linear mixed models. The purpose of this paper is to demonstrate how the more sophisticated linear mixed models according to the approach of Singer and Willett, which allows special insight into the behaviour of the data, can be used in clinical trials. Individual trajectories of PANNS-MNS Scores from a controlled clinical trial were used to demonstrate all the steps needed for an analysis of … Show more

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Cited by 5 publications
(2 citation statements)
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“…We calculated or approximated standardized effect sizes (Cohen’s d ) for all group comparisons. For continuous outcomes, we divided the adjusted mean difference by the pooled observed standard deviations [36]. We used approximating formulas for count [37] and binary [38] endpoints.…”
Section: Methodsmentioning
confidence: 99%
“…We calculated or approximated standardized effect sizes (Cohen’s d ) for all group comparisons. For continuous outcomes, we divided the adjusted mean difference by the pooled observed standard deviations [36]. We used approximating formulas for count [37] and binary [38] endpoints.…”
Section: Methodsmentioning
confidence: 99%
“…We calculated standardized effect sizes (Cohen's d) for all group comparisons by dividing the model-based adjusted mean difference by the pooled observed SDs. 38 For testing the two primary outcomes (BDI-II and PHQ-9), we used a two-sided significance level (p) of .025 (corrected for multiple testing according to Bonferroni). For all other analyses, findings with P < .05 were considered statistically significant.…”
Section: Discussionmentioning
confidence: 99%