Undergraduate Course: The Analysis of Survival Data (MATH11024)
Course Outline
| School | School of Mathematics |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Year 5 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course relates to time to event data, actuarial life tables, vital statistics and statistical synthesis of several studies (meta-analysis), all important topics in research applications of statistics. In particular, analysis of time to event data, vital statistics and meta-analysis are fundamental to many medical and epidemiological applications, but time to event data is important in other fields such as reliability engineering and sociology. Lectures and workshops form the basis of course delivery, and students will be directed to relevant public online material for further study.
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| Course description |
Although reasonably rigorous in terms of development requiring an understanding of maximum likelihood theory, statistical modelling and associated mathematical skills, the course covers many practical applications of the topics listed above. Appropriate statistical software will be used to conduct statistical analyses. Course aims relate to understanding and use of the theory and application to real-world examples.
Analytical framework for survival data; Actuarial life tables; Censoring (non-informative); Nonparametric estimation and inference; Models for survival data with covariates and related distributional aspects; Semiparametric modelling; Analysis of vital rates; Meta-analysis
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Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2019/20, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 5,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
69 )
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| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Examination 100%
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| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | | 2:00 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Understand and use analytical framework for time to event data, actuarial life tables, methods of analysis of time to event data, methods for analysing vital rates and methods of meta-analysis.
- Interpret results from statistical analysis of different forms of survival data.
- Use appropriate statistical software to conduct statistical analyses.
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Contacts
| Course organiser | Dr John Duffy
Tel: (0131 6)50 5084
Email: John.Duffy@ed.ac.uk |
Course secretary | Mr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk |
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