Survival Analysis
Basic concepts of survival analysis; hazard functions; types of censoring; Kaplan-Meier estimates; Logrank tests; proportional hazard models; examples drawn from clinical and epidemiological literature.
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesSTAT 340
Course Outcomes: 

Theory of Survival Analysis Methods

Understand the basic underlying theory of survival analysis methods


Conduct estimation of the survival function for a single sample

Formal Comparison

Conduct formal comparison of survival functions for two samples

Formal Analysis

Conduct formal analysis through incorporation of covariates

Formal Analysis in Different Settings

Conduct formal analysis in high-dimensional, low-sample size settings

Assess Appropriateness

Be able to assess the appropriateness of the use of methods for a given data set (given the scientific questions of interest and given the data characteristics)

Effectively Communicate

Be able to effectively communicate the results of data analyses