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for a past academic year. Please see the current academic year for up to date information.
| Unit name |
Statistics & Research Methods |
| Unit code |
MEDIM4003 |
| Credit points |
20 |
| Level of study |
M/7
|
| Teaching block(s) |
Academic Year (weeks 1 - 52)
|
| Unit director |
Dr. Wills |
| Open unit status |
Not open |
| Pre-requisites |
None
|
| Co-requisites |
None
|
| School/department |
Bristol Medical School |
| Faculty |
Faculty of Health Sciences |
Description including Unit Aims
Unit Aims:
- To describe key features of study design and be able to formulate study hypothesis and design effective studies to address common research questions
- To describe the core concepts necessary to be able to accurately interpret and present basic statistical analyses
- To be able to find, review and critically appraise the scientific literature
- To describe the important ethical elements of scientific and medical research
Intended Learning Outcomes
At the end of this module students will be able to:
- Interpret numerical and graphical summaries of data
- Understand the nature of sampling variation and the role of statistical inference in helping to quantify sampling variation draw conclusions from data.
- Accurately interpret the results of analyses based on principles of hypothesis testing and estimation.
- Interpret the results from common regression models.
- Devise research questions and design effective studies/experiments
- Offer a critical appraisal of the research methods elements of published scientific and clinical studies
Teaching Information
- Lectures/workshops (12)
- Conferencing (5)
- e-Learning
Assessment Information
Coursework: home-based assessment (60%):
i) Poster presentation of results from a study (20%)
ii) Paper Interpretation task (20%)
iii) MCQs (concepts) and data interpretation (20%)
Examination (40%):
A 2 hour exam consisting of three sections (40 /60%):
i) Statistical concepts (25%): MCQs
ii) Interpretation and critical appraisal (50%): Open ended questions
iii) Designing a study (25%): open ended questions
Reading and References
Motulsky H. 2014. Intuitive Biostatistics. New York: OUP.
