Individualized prediction is a hallmark of clinical medicine and decision making. However,
most existing prediction models rely on biomarkers and clinical outcomes available at a …

Extensions in the field of joint modeling of correlated data and dynamic predictions improve
the development of prognosis research. The R package frailtypack provides estimations of …

Importance Dietary proteins, such as gluten, have been suggested as triggers of the disease
process in type 1 diabetes (T1D). Objective To study the associations of cereal, gluten, and …

Background Baseline frailty index (FI) values have been shown to predict mortality among
older adults, but little is known about the effects of changes in FI on mortality. Methods In a …

Background Joint models for longitudinal and time-to-event data are commonly used to
simultaneously analyse correlated data in single study cases. Synthesis of evidence from …

Absolute Risk: Methods and Applications in Clinical Management and Public Health
provides theory and examples to demonstrate the importance of absolute risk in counseling …

Aims To observe, describe, and evaluate management and timing of intervention for patients
with untreated thoracic aortic aneurysms. Methods and results Prospective study of UK …

In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The
motivation for our research comes from a study which includes patients who received a …

Many prediction models have been developed for the risk assessment and the prevention of
cardiovascular disease in primary care. Recent efforts have focused on improving the …

Recently suggested novel implementation of the statistical distance measure (DM) for
evaluating “physiological dysregulation”(PD) in aging individuals (based on measuring …