Survival Analysis (ΣΕΕ13)
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General
| School | School of Science |
|---|---|
| Academic Unit | Department of Mathematics |
| Level of Studies | Graduate |
| Course Code | ΣΣΕ13 |
| Semester | 1 |
| Course Title |
Survival Analysis |
| Independent Teaching Activities | Lectures-Laboratory (Weekly Teaching Hours: 3, Credits: 7.5) |
| Course Type |
Specialized general knowledge |
| Prerequisite Courses | - |
| Language of Instruction and Examinations | Greek |
| Is the Course Offered to Erasmus Students |
Yes (in English, reading Course) |
| Course Website (URL) | See eCourse, the Learning Management System maintained by the University of Ioannina. |
Learning Outcomes
| Learning outcomes |
This course describes the various methods and underlying theory used for modeling, analyzing and interpreting survival data. Students taking this course will master their understanding of survival techniques and will be able to:
|
|---|---|
| General Competences |
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Syllabus
Types of censored data: right censoring, left censoring, interval censoring, e.t.c. Functions of interest in survival studies: The survival function, the hazard rate function, the cumulative hazard rate function and their connection with the probability density function and the cumulative distribution function. Estimation of the survival function: the Nelson-Aalen estimate, the Kaplan-Meier estimate. Parametric estimators. Comparison of two or more survival curves. Estimation of the hazard rate function: parametric estimates, kernel (nonparametric) estimation. Semiparametric estimation: Cox regression and its extensions. Model properties and limitations, variable selection, model validation measures (residual types and analysis, remedial measures).
Teaching and Learning Methods - Evaluation
| Delivery | Classroom (face-to-face) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Use of Information and Communications Technology |
Use of ICT in communication with students | ||||||||||
| Teaching Methods |
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| Student Performance Evaluation |
Final written exam in Greek (in case of Erasmus students in English). |
Attached Bibliography
- Lawless, J.L. (2002), Statistical Models and Methods for Lifetime Data 2nd Edition, Wiley.
- Cox D.R. and D. Oakes (1994), Analysis of Survival Data, Chapman and Hall,
- Klein and Moschberger (2003). Survival Analysis: Techniques for Censored and Truncated Data, 2nd edition. Springer.
- Kleinbaum, D. G. and Klein M., (2005), Survival Analysis: A Self-Learning Text, 2nd Edition. New York: Springer
- Therneau T, and Grambsch, P. (2000). Modeling Survival Data: Extending the Cox Model. New York: Springer.
- Hosmer, Jr, DW. and Lemeshow, S. (2008). Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition. Wiley,
- Kalbfleish, JD. and Prentice, RL. (2002). The Statistical Analysis of Failure Time Data. Wiley,
- Collet, D. (2003). Modeling Survival Data in Medical Research. London: Chapman and Hall.
- [Περιοδικό / Journal] Lifetime data analysis