Flexible Bayesian semiparametric mixed-effects model for skewed longitudinal data

Flexible Bayesian semiparametric mixed-effects model for skewed longitudinal data

Abstract Background In clinical trials and epidemiological research, mixed-effects models are commonly used to examine population-level and subject-specific trajectories of biomarkers over time. Despite their increasing popularity and application, the specification of these models necessitates a gre...

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Bibliographic Details
Main Authors: Melkamu M. Ferede, Getachew A. Dagne, Samuel M. Mwalili, Workagegnehu H. Bilchut, Habtamu A. Engida, Simon M. Karanja
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Medical Research Methodology
Subjects:
Bayesian inference
Semiparametric mixed-models
Longitudinal data
Skew-distributions
Chronic kidney disease
Online Access:https://doi.org/10.1186/s12874-024-02164-y

Internet

https://doi.org/10.1186/s12874-024-02164-y

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