Apr 13, 2024  
Graduate Catalog | 2023-2024 
    
Graduate Catalog | 2023-2024
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STAT 7137 - 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 8137  


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