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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Undergraduate Course: The Analysis of Survival Data (MATH11024)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Year 5 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis 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.

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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: ( Linear Statistical Modelling (MATH10005) AND Likelihood (MATH10004)) OR Statistical Methodology (MATH10095)
Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2019/20, Available to all students (SV1) 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 )
Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 %
Additional Information (Assessment) Examination 100%
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S1 (December)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. 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.
  2. Interpret results from statistical analysis of different forms of survival data.
  3. Use appropriate statistical software to conduct statistical analyses.
Reading List
None
Additional Information
Course URL https://info.maths.ed.ac.uk/teaching.html
Graduate Attributes and Skills Not entered
KeywordsASD
Contacts
Course organiserDr John Duffy
Tel: (0131 6)50 5084
Email: John.Duffy@ed.ac.uk
Course secretaryMr Martin Delaney
Tel: (0131 6)50 6427
Email: Martin.Delaney@ed.ac.uk
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