Multi-State Survival Models for Interval-Censored Data introduces methods to describe
stochastic processes that consist of transitions between states over time. It is targeted at …

There are numerous fields of science in which multistate models are used, including
biomedical research and health economics. In biomedical studies, these stochastic …

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 …

Introduction The aim of this paper is to study transitions between two states of gambling in
adulthood (problem gambling and non-problem gambling) and to identify factors that might …

Objectives Structural valve deterioration (SVD) remains a major bioprosthesis-related
complication, as recently described for the Mitroflow valve (models LX and 12A)(LivaNova …

Multi-state models provide an extension of the usual survival/event-history analysis setting.
In the medical domain, multi-state models give the possibility of further investigating …

As cancer patient survival improves, late effects from treatment are becoming the next
clinical challenge. Chemotherapy and radiotherapy, for example, potentially increase the …

Multistate models with interval‐censored data, such as the illness‐death model, are still not
used to any considerable extent in medical research regardless of the significant literature …

Interval-censored multi-state data are commonly encountered in studies of chronic diseases,
where a subject's health status is characterized by a finite number of disease states and …

Recently, there has been a lot of development in relative survival field. In the absence of
data on the cause of death, the research has tended to focus on the estimation of survival …