Background Health service databases of administrative type can be a useful tool for the
study of progression of a disease, but the data reported in such sources could be affected by …

OBJECTIVE This study sought to investigate the progression and regression of diabetic
retinopathy (DR) and the effects of population risk factors on the rates of transition across …

Modeling a disease or the treatment of a patient has drawn much attention in recent years
due to the vast amount of information that Electronic Health Records contain. This paper …

Continuous-time multistate models are widely used for categorical response data,
particularly in the modeling of chronic diseases. However, inference is difficult when the …

Bayesian inference in modelling infectious diseases using Bayesian inference using Gibbs
Sampling (BUGS) is notable in the last two decades in parallel with the advancements in …

Background. Fibrosis progression varies markedly in hepatitis C virus (HCV)–infected
individuals. We investigated factors that influence fibrosis progression in chronic HCV …

Background Clinical guidelines suggest preventive interventions such as statin therapy for
individuals with a high estimated 10-year risk of major cardiovascular events. For those with …

We investigate the hot hand hypothesis in professional darts in a nearly ideal setting with
minimal to no interaction between players. Considering almost 1 year of tournament data …

For the purposes of eruption forecasting and hazard mitigation, a volcanic crisis may be
represented as a staged progression of states of unrest, each with its own timescale and …

Modeling continuous-time physiological processes that manifest a patient's evolving clinical
states is a key step in approaching many problems in healthcare. In this paper, we develop …