Statistics

ST745 - Analysis of Survival Data

• Prerequisites: ST521, ST522, ST552
• Term & Frequency: Every spring
• Student Audience: PhD Students in statistics and related fields
• Credit: 3 credits
• Recent Texts: Moeschberger and Klein, Survival Analysis, Butch Tsiatis' notes
• Recent Instructors: Eric Laber, Wenbin Lu, Daowen Zhang, Butch Tsiatis
• Background and Goals: This course provides an introduction to parametric and nonparametric methods in survival analysis. This course serves the dual purpose of preparing students to analyze time-to-event data as well as to prepare them for advanced study or research in survival analysis.
• Content: Censoring, Kaplan-Meier estimator and Greenwood's formula, log-rank tests, regression models and diagnostics, including Cox proportional hazards and accelerated failure time models, competing risks and multistate models as time permits
• Alternatives: None
• Subsequent Courses: Advanced survival analysis

SP 2013 Sections: