Statistical methods for survival data analysis is an ideal text for upper undergraduate and graduate level courses on survival data analysis the book is also an excellent resource for biomedical investigators statisticians and epidemiologists as well as researchers in every field in which the analysis of survival data plays a role. The author of the previous editions of statistical methods for survival data analysis professor lee is a fellow of the american statistical association and member of the society for epidemiological research and the american diabetes association. Statistical methods for survival data analysis third edition wiley series in probability and statistics elisa t lee john wenyu wang. In this article we reviewed statistical methods for survival analysis focusing on the adaption of traditional methods regularizations and ml we introduced how a km estimator can determine a survival function how the log rank test can compare two survival curves and use of the cox regression model
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