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

This book covers competing risks and multistate models, sometimes summarized as event history analysis. These models generalize the analysis of time to a single

This book is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the

Survival data or more general time-to-event data occur in many areas, including medicine, biology, engineering, economics, and demography, but previously standa

Modern survival analysis and more general event history analysis may be effectively handled within the mathematical framework of counting processes. This book p