![]() ![]() The use of counting process methodology has allowed for substantial advances in the statistical theory to account for censoring and truncation in survival experiments. The analysis of survival experiments is complicated by issues of censoring, where an individual's life length is known to occur only in a certain period of time, and by truncation, where individuals enter the study only if they survive a sufficient length of time or individuals are included in the study only if the event has occurred by a given date. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques to biology and medicine. Then if you desire a more technical understanding or need to understand topics not covered in the other books then buy Klein and Moeschberger's book.Applied statisticians in many fields must frequently analyze time to event data. These books would provide a more intuitive understanding of survival analysis. ![]() 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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