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Formulating Mixed Models for Experiments, Including Longitudinal Experiments
(AMER STATISTICAL ASSOC & INT BIOMETRIC SOC, 2009)
Mixed models have become important in analyzing the results of experiments, particularly those that require more complicated models (e.g., those that involve longitudinal data). This article describes a method for deriving ...
Longitudinal course of cognitive deficits in bipolar disorder: a meta-analytic study
(Elsevier, 2014-04)
OBJECTIVE: Persistent cognitive deficits in bipolar disorder represent a major impediment to functional adjustment, but their static or progressive nature remains to be ascertained. The aim of this study was to synthesize ...
Longitudinal measurement invariance of neuropsychological tests in a diverse sample from the ELSA-Brasil study
(Associação Brasileira de Psiquiatria, 2021)
Bayesian longitudinal data analysis with mixed models and thick-tailed distributions using MCMC
(Carfax Publishing, 2004-08-01)
Linear mixed effects models are frequently used to analyse longitudinal data, due to their flexibility in modelling the covariance structure between and within observations. Further, it is easy to deal with unbalanced data, ...
Longitudinal analysis of cognitive performances in recent-onset and late-life Bipolar Disorder: A systematic review and meta-analysis
(Wiley Blackwell Publishing, Inc, 2020-02)
Objectives: Neurocognitive deficits have been widely reported in euthymic Bipolar Disorder (BD) patients and contribute to functional disability. However, the longitudinal trajectory of these deficits remains a subject of ...
Drivers of customer satisfaction in the grocery retail industry: A longitudinal analysis across store formats
(2021)
The design of satisfactory shopping experiences remains one of the main challenges for building long-term profitability in modern retailing. Therefore, companies are interested in identifying the key drivers of the service ...