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 …

This practical guide to survival data and its analysis for readers with a minimal background
in statistics shows why the analytic methods work and how to effectively analyze and …

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

A practical guide to methods of survival analysis for medical researchers with limited
statistical experience. Methods and techniques described range from descriptive and …

Multi‐centre databases are making an increasing contribution to medical understanding.
While the statistical handling of randomized experimental studies is well documented in the …

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R,
SAS, and BUGS provides the reader with a practical introduction into the analysis of interval …

Third Edition brings the text up to date with new material and updated references. New
content includes an introduction to left and interval censored data; the log-logistic …

Well received in its first edition, Survival Analysis: A Practical Approach is completely revised
to provide an accessible and practical guide to survival analysis techniques in diverse …

The book is divided into ten chapters. In addition come five appendices which give useful
introductions to the SAS and S-plus software and describe the SAS macros, S-plus functions …

Survival data stand out as a special statistical field. This paper tries to describe what survival
data is and what makes it so special. Survival data concern times to some events. A key …