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. 1 - Examples of Survival Data.- 2 - Basic Quantities and Models.- 3 - Censoring and Truncation.- 4 - Nonparametric Estimation of Basic Quantities for Right-Censored and Left-Truncated Data.- 5 - Estimation of Basic Quantities for Other Sampling Schemes.- 6 - Topics in Univariate Estimation.- 7 - Hypothesis Testing.- 8 - Semiparametric Proportional Hazards Regression with Fixed Covariates.- 9 - Refinements of the Semiparametric Proportional Hazards Model.- 10 - Additive Hazards Regression Models.- 11 - Regression Diagnostics.- 12 - Inference for Parametric Regression Models.- 13 - Multivariate Survival Analysis.- Appendix A - Numerical Techniques for Maximization.- A.1 Univariate Methods.- A.2 Multivariate Methods.- Appendix B - Large-Sample Tests Based on Likelihood Theory.- Appendix C - Statistical Tables.- C.2 Upper Percentiles of a Chi-Square Distribution.- C.3 Confidence Coefficients for EP Confidence Bands.- C.4 Confidence Coefficients for the Hall-Wellner Confidence Bands.- C.5 Survival Function of the Supremum of the Absolute Value of a Standard Brownian Motion Process over the Range 0 to 1.- Appendix D - Selected Data Sets.- D.1 Data on 137 Bone Marrow Transplant Patients.- D.2 Data On 154 Burn Patients.- D.3 Death Times (in days) of Kidney Transplant Patients.- D.4 Data on 90 Patients with Cancer of the Larynx.- D.5 Data on Residents of a Retirement Community.- Author Index.
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