Competing risks endpoints are frequently encountered in hematopoietic stem cell
transplantation where patients are exposed to relapse and treatment-related mortality. Both …

A frailty model is a random effects model for time variables, where the random effect (the
frailty) has a multiplicative effect on the hazard. It can be used for univariate (independent) …

Modelling Survival Data in Medical Research, Fourth Edition, describes the analysis of
survival data, illustrated using a wide range of examples from biomedical research. Written …

Since our first edition of this book, many developments in statistical mod elling based on
generalized linear models have been published, and our primary aim is to bring the book up …

This book presents statistical methods for analysis of the duration of events. The primary
focus is on models for single-spell data, events in which individual agents are observed for a …

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

This article provides a Markov model for the term structure of credit risk spreads. The model
is based on, with the bankruptcy process following a discrete state space Markov chain in …

A linear model is suggested for the influence of covariates on the intensity function. This
approach is less vulnerable than the Cox model to problems of inconsistency when …

This volume examines modern techniques and research problems in the analysis of lifetime
data analysis. This area of statistics deals with time-to-event data which is complicated not …

If something can fail, it can often fail in one of several ways and sometimes in more than one
way at a time. There is always some cause of failure, and almost always, more than one …