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.
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