Postgraduate Course: Medical Statistics for the Life Sciences (GMED11027)
Course Outline
| School |
School of Clinical Sciences and Community Health |
College |
College of Medicine and Veterinary Medicine |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
General Courses (Medicine) |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
This course provides an introduction to key concepts and topics in the statistical methods typically used in biomedical sciences, with particular attention to the principles of good experimental design and appropriate methods of analysis. It will also provide some training in practical data analysis using specialist statistical software. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
Summary of Intended Learning Outcomes
| Students should be familiar with the basic principles underlying statistical thinking, including topics such as types of data, the relationship of population to sample, sampling methods, confidence intervals, hypothesis testing and experimental design and randomisation. They should understand and be able to apply simple one and two-group parametric tests, correlation coefficients, simple linear regression models, and simple fixed-effect analysis of variance models. They should be able to analyse correctly method comparison and reproducibility studies and use the appropriate quantities to measure performance of diagnostic and prognostic tests. They should develop competence in implementing the above methods in statistical software. |
Assessment Information
| 100% project |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Niall Anderson
Tel: (0131 6)50 3212
Email: Niall.Anderson@ed.ac.uk |
Course secretary |
Ms Margaret Luttrell
Tel:
Email: Maggie.Luttrell@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:04 am
|
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