Survival Analysis: Models and Applications

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.Content:
Chapter 1 Introduction (pages 1–19):
Chapter 2 Descriptive Approaches of Survival Analysis (pages 20–62):
Chapter 3 Some Popular Survival Distribution Functions (pages 63–92):
Chapter 4 Parametric Regression Models of Survival Analysis (pages 93–143):
Chapter 5 The Cox Proportional Hazard Regression Model and Advances (pages 144–200):
Chapter 6 Counting Processes and Diagnostics of the Cox Model (pages 201–254):
Chapter 7 Competing Risks Models and Repeated Events (pages 255–309):
Chapter 8 Structural Hazard Rate Regression Models (pages 310–346):
Chapter 9 Special Topics (pages 347–404):