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Competing regression models for longitudinal data
(Wiley-Blackwell, 2012-03-01)
The choice of an appropriate family of linear models for the analysis of longitudinal data is often a matter of concern for practitioners. To attenuate such difficulties, we discuss some issues that emerge when analyzing ...
Longitudinal Poisson modeling: an application for CD4 counting in HIV-infected patients
(ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDLONDON, 2010)
In this paper, we present different ofrailtyo models to analyze longitudinal data in the presence of covariates. These models incorporate the extra-Poisson variability and the possible correlation among the repeated counting ...
Are trajectories of depressive symptoms during the first half of drug-sensitive pulmonary tuberculosis treatment associated with loss to follow-up? A secondary analysis of longitudinal data
(BMJ Group, 2023)
OBJECTIVE: The objective of this study was to identify trajectories of depressive symptoms (DSs) during the first half of drug-sensitive pulmonary tuberculosis (PTB) treatment and examine their association with loss to ...
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, ...
Bayesian longitudinal data analysis with mixed models and thick-tailed distributions using MCMC
(Carfax Publishing, 2014)
Application of longitudinal data analysis allows to detect differences in pre‐breeding growing curves of 24‐month calving Angus heifers under two pasture‐based system with differential puberty onset
(John Wiley & Sons Ltd, 2019-10)
Background. Longitudinal data analysis contributes to detect differences in the growing curve by exploiting all the information involved in repeated measurements, allowing to distinguish changes over time within individuals, ...
Discriminant analysis for longitudinal data with multiple continuous responses and possibly missing data
(INTERNATIONAL BIOMETRIC SOCIETY, 2009)