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Survival analysis: Techniques for censored and truncated data John P. Klein, Melvin L. Moeschberger
Publisher: Springer

This volume includes papers (with discussions) by 26 of the leading researchers in these areas. €�Spline-based tests in survival analysis.” Biometrics . [Find It]; Klein, J.P.; Moeschberger, M.L. LINK: Download Survival analysis: Techniques for censored and truncated data Audiobook. Biological, and social sciences. Moeschberger, Survival Analysis: Techniques for Censored and Truncated Data, Springer, New York, NY, USA, 2th edition, 2003. Survival Analysis: Techniques for Censored and Truncated Data . Proportional hazards model, which also called Cox regression, is a popular method in analysis of survival data. Therneau TM, Grambsch PM, Flemenig TR: Martingale-based residuals for survival models. One common method to analyze this contains right-censored data. Survival Analysis: Counting Processes and Survival Analysis, Fleming & Harrington 非常难读但是确实非常经典. Klein JP, Moeschberger ML: Survival analysis: techniques for censored and truncated data. Researchers in survival techniques, in addition to statisticians and biostatisticians include epidemiologists, reliability engineers, demographers and economists. Survival analysis methods deal with a type of data, which is waiting time till occurrence of an event. Survival Analysis: Techniques for Censored and Truncated Data. Review…An excellent graduate-level text for a course in survival analysis.