Postgraduate Course: Credits Awarded for Taught Courses [University of Glasgow] Survival analysis for Health Technology Assessment MED5380 (HEIN11052)
Course Outline
School | Deanery of Molecular, Genetic and Population Health Sciences |
College | College of Medicine and Veterinary Medicine |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 10 |
ECTS Credits | 5 |
Summary | This is a placeholder course, designed to record marks for the University of Glasgow part of the programme, PRPHDISPME1F: Precision Medicine (PhD with Integrated Study) |
Course description |
Please see [University of Glasgow] Survival analysis for Health Technology Assessment (Online) MED5380
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Create, interpret and critically assess the ouput from the Kaplan-Meier method (descriptive statistics and survival graphs).
- Create, interpret and critically assess the ouput from Cox regression (survival graphs, hazard graphs, hazard ratios).
- Create, interpret and critically assess the ouput from parametric survival models (survival graphs, hazard graphs, hazard ratios).
- Critically discuss how parametric survival models can be used for extrapolating (and therefore obtain unrestricted life expectancy estimates) and partitioning survival curves
- Evaluate how outputs from survival models can be used as inputs in Markov models, discrete event simulations and cumulative incidence implementations.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | Not entered |
Contacts
Course organiser | Dr Susan Farrington
Tel: (0131) 332 2471
Email: Susan.Farrington@ed.ac.uk |
Course secretary | Mrs Maree Hardie
Tel:
Email: maree.hardie@ed.ac.uk |
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