Background In the development of prediction models for a clinical event, it is common to use
the static prediction modeling (SPM), a regression model that relates baseline predictors to …

Joint modeling and landmark modeling are two mainstream approaches to dynamic
prediction in longitudinal studies, that is, the prediction of a clinical event using longitudinally …

Dynamic prediction of the risk of a clinical event by using longitudinally measured
biomarkers or other prognostic information is important in clinical practice. We propose a …

The cause-specific cumulative incidence function quantifies the subject-specific disease risk
with competing risk outcome. With longitudinally collected biomarker data, it is of interest to …

In clinical research and practice, landmark models are commonly used to predict the risk of
an adverse future event, using patients' longitudinal biomarker data as predictors. However …

Predicting patient survival probabilities based on observed covariates is an important
assessment in clinical practice. These patient-specific covariates are often measured over …