Advanced Statistical Methods
This module will build on your learning about statistical principles and methods gained in previous modules. Through the use of data sets, you will have the opportunity to develop your knowledge and skills of data methods related to analysis of individual epidemiological studies.
By the end of the module you should be able to:
• Understand the statistical basis of generalised linear modelling (GLM);
• Apply GLM methods to different epidemiological designs (i.e. clinical trials, cohort and case control studies);
• Apply GLM methods to different study outcomes (i.e. binary, continuous and survival);
• Understand and interpret GLM regression output from data analysis, including understanding assumptions, limitations and when more complex analysis methods are recommended
Module Attendance Required
1 block week of teaching
4 – 8 March 2019
One written assignment
Dr Sue Mallett
Stand Alone Course
This module can be taken as a standalone course. It can be assessed or non assessed. To apply, please contact the Programme Coordinator on 0121 414 7577 or at firstname.lastname@example.org. All applications must be received a minimum of one month before the start date of the module. For further information on fees or entry requirements, please contact the Programme Administrator.