Course summary
The information provided on this page was correct at the time of publication (November 2023). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas. This is a course for health professionals who wish to strengthen their statistical skills and ability to analyse data. Students will gain confidence in carrying out the methods that are widely used in medical statistics, and interpreting the results for the practice of evidence-based health care. This course is designed for doctors, nurses, pharmacists, midwives and other healthcare professionals, seeking to consolidate their understanding and ability in medical statistics. Core modules introduce the students to methods for observational and clinical trials research. Optional modules offer the students skills in growth areas such as systematic review, meta-analysis, and big data epidemiology, or specialist areas such as statistical computing, diagnosis and screening research and others. The course aims to give students high competence in the concepts, methods, terminology and interpretation of medical statistics; and hence, enhance their ability to carry out their own research and to interpret published evidence. Students should gain:
- competence in execution and interpretation of core statistical techniques used by medical statisticians, particularly those used in multivariable analyses: multiple linear regression, logistic regression, and survival modelling, statistical analysis plans and statistical reporting
- competence in execution and interpretation of core statistical techniques used by medical statisticians in clinical trials
- competence in execution and interpretation of four other areas, selected by the student from the following options: meta-analysis; systematic review; big data epidemiology; statistical computing; diagnosis and screening; study design and research methods
- hands-on experience, supervised by a senior member of our medical statistics team, of the analysis or meta-analysis of healthcare data, in order to address a question in evidence-based health care.
- Essential Medical Statistics
- Statistics for Clinical Trials
- Meta-analysis
- Big Data Epidemiology
- Statistical Computing for Health Care Research
- Clinical Prediction Rules
- Introduction to Study Design and Research Methods
- Systematic Reviews or Complex Reviews
- Evidence-based Diagnosis and Screening
Entry requirements
For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via www.graduate.ox.ac.uk/ucas
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Oxford
University Offices
Wellington Square
Oxford
OX1 2JD