Unit name | Research Methods and Biostatistics (TTS-D2) |
---|---|
Unit code | PANMM0013 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Chris Rogers |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Cellular and Molecular Medicine |
Faculty | Faculty of Life Sciences |
This unit aims to provide students with an understanding of research methodologies and knowledge of the appropriate use of statistics. Where possible examples are taken from transfusion and transplantation studies, but the principles and techniques apply equally to other areas of medicine. Students gain an understanding and appreciation of how to conduct research successfully and avoid common pitfalls. Concepts underlying statistical methods are introduced, and students gain sufficient knowledge to be able to identify an appropriate analysis method and recognise when statistics are being applied inappropriately. Mathematical formulae are kept to a minimum. Sessions on project management, effective communication/leadership, and economic evaluation are also included. The unit comprises a mixture of lectures, small group work, discussions and practical sessions. Students are expected to read around the subject and to use the published literature to support the unit. Two assignments are set, which contribute to the final mark for the unit.
Aims:
The unit aims to cover the following topics: Probability. Data distributions. Hypothesis testing. Confidence intervals. T-tests. Non-parametric methods. Chi-squared tests. Odds ratios and relative risks. Linear and multiple regression. Regression assumptions. Logistic regression. Survival analysis. Statistical methods for diagnostic testing. Repeated measures. Critical appraisal of the literature.
At the end of the unit students should be able to:
The unit teaching methods comprise a mixture of lectures, small group work, discussions and practical sessions.
One marked assignment plus a 1 hour examination.
DG Altman – Practical statistics for medical research – Chapman and Hall (1991)
M Bland – An introduction to medical statistics (2nd edition) – Oxford Medical Publications (1996)
MJ Campbell and D Machin – Medical statistics. A common sense approach (2nd edition) – Wiley (1993)
A Petrie and C Sabin – Medical statistics at a Glance – Blackwell (2000)