STAT 2261 - SURVIVAL ANALYSIS
Minimum Credits: 3
Maximum Credits: 3
This is an introductory course in the analysis of time-to-event data where censoring and truncation may be present. It will focus on both theories and applications. Upon completion of this course, students will be able to: Distinguish different types of survival data (e.g., complete, right/left censored, right/left truncated); Identify basic quantities and survival models; Conduct basic nonparametric, semiparametric, and parametric inferences (e.g., Kaplan-Meier estimator, Log-rank test, Cox proportional hazards model, Accelerated failure-time and Log-linear models, etc.); Be familiar with model assumptions and diagnosis; and Use R to analyze various datasets and produce well-documented reports.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Click here for class schedule information.
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