Survival Analysis
2.0
creditsAverage Course Rating
This introductory course introduces fundamental concepts and techniques of survival analysis including censoring, hazard and survival functions, Kaplan-Meier curves and logrank tests. Parametric inferences are introduced using the exponential and Weibull distributions. Regression analysis of the Cox proportional hazards model, and its extensions to time-dependent covariates, will also be introduced. Special topics, such as non-proportional hazards models and multivariate survival times, will be discussed. An important focus of the course will be using data sets from clinical and epidemiological studies to illustrate the introduced statistical methods and show how to make scientific interpretations from the numerical results. SAS and Stata will be the computation softwares used in class. Students can also choose a software based on their own preference when doing exercises.
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