Now showing items 1-2 of 2
Predicting the Risk of Huntington's Disease with Multiple Longitudinal Biomarkers.
(Journal of Huntington's disease, 2019-06-22)
BACKGROUND:Huntington's disease (HD) has gradually become a public health threat, and there is a growing interest in developing prognostic models to predict the time for HD diagnosis. OBJECTIVE:This study aims to develop ...
Bayesian quantile regression joint models: Inference and dynamic predictions.
(Statistical methods in medical research, 2018-01)
In the traditional joint models of a longitudinal and time-to-event outcome, a linear mixed model assuming normal random errors is used to model the longitudinal process. However, in many circumstances, the normality assumption ...