In standard time‐to‐event or survival analysis, occurrence times of the event of interest are
observed exactly or are right‐censored, meaning that it is only known that the event …

We review estimation in interval censoring models, including nonparametric estimation of a
distribution function and estimation of regression models. In the nonparametric setting, we …

This book serves as an introductory guide for students and analysts who need to work with
survival time data. The minimum prerequisites are basic applied courses in linear regression …

In a mathematical approach to hypothesis tests, we start with a clearly defined set of
hypotheses and choose the test with the best properties for those hypotheses. In practice …

Among the many uses of hierarchical modeling, their application to the statistical analysis of
spatial and spatio-temporal data from areas such as epidemiology And environmental …

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 …

THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-
EVENT DATA—NOW IN A VALUABLE NEW EDITION Since publication of the first edition …

The explanation and implementation of statistical methods for the medical researcher or
statistician remains an integral part of modern medical research. This book explains the use …

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 …

Several topics are addressed, including parametric models, semiparametric models based
on prior processes, proportional and non-proportional hazards models, frailty models, cure …