Statistical Methods for Survival Data Analysis (eBook)

Praise for the Third Edition

". . . an easy-to read introduction to survival analysis
which covers the major concepts and techniques of the
subject." --Statistics in Medical Research

Updated and expanded to reflect the latest developments,
Statistical Methods for Survival Data Analysis, Fourth
Edition continues to deliver a comprehensive introduction to
the most commonly-used methods for analyzing survival data.
Authored by a uniquely well-qualified author team, the Fourth
Edition is a critically acclaimed guide to statistical methods with
applications in clinical trials, epidemiology, areas of business,
and the social sciences. The book features many real-world examples
to illustrate applications within these various fields, although
special consideration is given to the study of survival data in
biomedical sciences.

Emphasizing the latest research and providing the most
up-to-date information regarding software applications in the
field, Statistical Methods for Survival Data Analysis, Fourth
Edition also includes:

* Marginal and random effect models for analyzing correlated
censored or uncensored data

* Multiple types of two-sample and K-sample comparison
analysis

* Updated treatment of parametric methods for regression model
fitting with a new focus on accelerated failure time models

* Expanded coverage of the Cox proportional hazards model

* Exercises at the end of each chapter to deepen knowledge of the
presented material

Statistical Methods for Survival Data Analysis is an
ideal text for upper-undergraduate and graduate-level courses on
survival data analysis. The book is also an excellent resource for
biomedical investigators, statisticians, and epidemiologists, as
well as researchers in every field in which the analysis of
survival data plays a role.