Book description
Survival analysis concerns sequential occurrences of events governed by
probabilistic laws. Recent decades have witnessed many applications of
survival analysis in various disciplines. This book introduces both
classic survival models and theories along with newly developed
techniques. Readers will learn how to perform analysis of survival data
by following numerous empirical illustrations in SAS.
Survival Analysis: Models and Applications
:
- Presents basic techniques before leading onto some of the most
advanced topics in survival analysis.
- Assumes only a minimal knowledge of SAS whilst enabling more
experienced users to learn new techniques of data input and manipulation.
- Provides numerous examples of SAS code to illustrate each of the
methods, along with step-by-step instructions to perform each technique.
- Highlights the strengths and limitations of each technique covered.
Covering a wide scope of survival techniques and methods, from the
introductory to the advanced, this book can be used as a useful
reference book for planners, researchers, and professors who are
working in settings involving various lifetime events. Scientists
interested in survival analysis should find it a useful guidebook for
the incorporation of survival data and methods into their projects.
