Module leader: Professor Catherine Hewitt
This course aims to equip you with the necessary skills and knowledge to allow interpretation and critical understanding of analysis of data. It focuses on the interpretation and correct use of statistics in published healthcare research.
You will be guided through a range of standard statistical techniques starting with frequency distributions, and means and standard deviations. We will then move on to the principles of confidence intervals and significance tests, and to specific methods for calculating these for different types of data. Methods include the comparison of means using Normal and t methods, comparison of proportions using chi-squared tests, relative risks and odds ratios, correlation and regression, and the analysis of time to event (survival) data. Multiple, logistic, and Cox regression are all described. Special attention is paid to the conditions under which the techniques may or not may be applied. The course is about understanding, not calculation.
Understanding Clinical Statistics can be taken as a course in understanding statistics for those who already know the mechanics, as a first course in statistics, or as a refresher course. The course is taught by distance learning with an optional weekly tutorial in person. Attendance is required only for the assessment.
Follow the link for further details of Understanding Clinical Statistics - HEA00005M
You should normally be a graduate with a 2:1 degree or higher, or equivalent from an overseas university, and be able to demonstrate that you have the necessary knowledge of and interest in a relevant area of health sciences. Applicants are assessed on a case-by-case basis, and we follow the University’s Equal Opportunities policy.
If you successfully complete this course you will be awarded 10 credit points by the University of York, at Level 7.
Please visit www.york.ac.uk/healthsciences/gradschool/funding/.
The course is taught by distance learning and runs in the Spring term.