A Semiparametric Bayesian Joint Modelling of Skewed Longitudinal and Competing Risks Failure Time Data: With Application to Chronic Kidney Disease
In clinical and epidemiological studies, when the time-to-event (s) and the longitudinal
outcomes are associated, modelling them separately may give biased estimates. A joint …
outcomes are associated, modelling them separately may give biased estimates. A joint …
Flexible Bayesian semiparametric mixed-effects model for skewed longitudinal data
MM Ferede, GA Dagne, SM Mwalili, WH Bilchut… - BMC Medical Research …, 2024 - Springer
Background In clinical trials and epidemiological research, mixed-effects models are
commonly used to examine population-level and subject-specific trajectories of biomarkers …
commonly used to examine population-level and subject-specific trajectories of biomarkers …
Joint modelling of longitudinal ordinal and multi-state data
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longitudinal and survival data is increasingly used in biomedical studies. However, existing …
longitudinal and survival data is increasingly used in biomedical studies. However, existing …
A two-stage approach for joint modeling of longitudinal measurements and competing risks data
Joint modeling of longitudinal measurements and time-to-event data is used in many
practical studies of medical sciences. Most of the time, particularly in clinical studies and …
practical studies of medical sciences. Most of the time, particularly in clinical studies and …
[PDF][PDF] A two-stage approach for joint modeling of longitudinal measurements and competing risks
||.||--GGGGGGSLLLLS compete for failing an individual. In this situation, assessing the
competing The conditional expected risk failure time is important. In most cases …
competing The conditional expected risk failure time is important. In most cases …