I would recommend you buy a more nontechnical book first, for example Kleinbaum's Survival Analysis or Hosmer and Lemshow's Applied Survival Analysis. The other major benefit of the book is it covers a wide range of topics including: censored data, estimation of survival and hazard functions, hypothesis testing, Cox proportional hazards model, additive models, regression diagnostics, parametric models, and multivariate survival analysis. This helped greatly because one might get lost with the math. Klein and Moeschberger make extensive use of practical examples to illustrate how the techniques are used. If you do not feel comfortable with math or do not have a graduate level background in statistics then this book would be a waste of your time and money. One needs a strong background in math, including calculus and linear algebra, and first year graduate level courses in statistics and econometrics to understand the book. The authors rely heavily on mathematics and use it to derive the procedures used in survival analysis. The main point to understand about the book is it's a graduate level text. For example, how long does it take for a released felon to go back to jail. Survival analysis is techniques to analyze time to event problems. Klein and Moeschberger's Survival Analysis: Techniques for Censored and Truncated Data is a valuable resource for those who use survival analysis in their research or job.
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