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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : Deanery of Clinical Sciences : General Courses (Medicine)

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

Course Outline
SchoolDeanery of Clinical Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis 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.
Course description 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
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
Course Delivery Information
Not being delivered
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.
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.
Additional Information
Graduate Attributes and Skills Not entered
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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