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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2013/2014
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DRPS : Course Catalogue : School of Clinical Sciences : General Courses (Medicine)

Postgraduate Course: Medical Statistics for the Life Sciences (GMED11027)

Course Outline
SchoolSchool of Clinical Sciences CollegeCollege of Medicine and Veterinary Medicine
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits10
Home subject areaGeneral Courses (Medicine) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis 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 (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Pre-requisitesNone
Displayed in Visiting Students Prospectus?No
Course Delivery Information
Not being delivered
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
Special Arrangements
None
Additional Information
Academic description Not entered
Syllabus 1. Introduction to principles of statistical inference, types of data and graphical and simple summary measures
2. Basic probability and probability distributions
3. Confidence intervals principles and simple 1 & 2 group continuous and categorical examples
4. Hypothesis testing principles and same examples as session 3
5. Correlation and simple linear regression
6. Study design principles randomisation and blocking
7. Study design principles clinical trials and power issues
8. One and Two-way analysis of variance models
9. Method comparison and reproducibility methods
10. Diagnostic testing sensitivity, specificity, PPV, NPV and ROC curves
Transferable skills Not entered
Reading list 1. Statistics at Square One, Ninth Edition (1997). Swinscow, TDJ. BMJ (Download at http://www.bmj.com/statsbk/)
2. Medical Statistics at a Glance (2000). Petrie, A and Sabin, C. Blackwell.
3. Practical Statistics for Medical Research (1991) Altman, D.G. Chapman and Hall/ CRC.
Study Abroad Not entered
Study Pattern 10 x 1 hour lectures; 10 x 1 hour practical sessions
KeywordsStatistics, clinical trials, experimental design, randomisation, ANOVA, reproducibility, diagnostic
Contacts
Course organiserDr Niall Anderson
Tel: (0131 6)50 3212
Email: Niall.Anderson@ed.ac.uk
Course secretaryMs Margaret Luttrell-Outsios
Tel: (0131 6)50 3227
Email: Maggie.Luttrell@ed.ac.uk
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