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STAT 486 Survival Analysis Units: 3.00
Introduces the theory and application of survival analysis: survival distributions and their applications, parametric and nonparametric methods, proportional hazards models, counting process and proportional hazards regression, planning and designing clinical trials. Given jointly with STAT 886.
Learning Hours: 120 (36 Lecture, 84 Private Study)
Requirements: Prerequisite ([STAT 361 or ECON 351] and STAT 463) or permission of the Department.
Recommended STAT 462.
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- Analyze the real data set with R software using appropriate models.
- Identify and classify data problems in survival analysis, define the appropriate survival function, distribution function, hazard function, and cumulative hazard function.
- Understand and be able to compare survival functions of two or more populations.
- Understand and be able to estimate survival functions using parametric, non-parametric, and semiparametric methods.