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Nov 09, 2024
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STAT 8137 - Survival Analysis
Introduction to statistical models, methods, and theories in the analysis of event history data. Topics include: failure time data and censoring, competing risks and multistage models, one-sample nonparametric estimation, k-sample hypothesis tests, the likelihood constructions for failure time data, and semi-parametric models including the Cox proportional hazards model and Aalen’s additive hazards model. Also examines some graphical diagnosis methods and goodness-of-fit tests, as well as counting processes and martingales to study the theoretical properties of various estimators and hypothesis tests. Statistical software in R is used for data analysis to demonstrate the methods.
Credit Hours: (3)
Prerequisite(s): STAT 5126 and STAT 5127 , or permission of department
Cross-listed Course(s): STAT 7137
Schedule of Classes
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