Module Overview
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.
Learning Outcomes
By the end of the module you should be able to:
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Understand the statistical basis of generalised linear modelling (GLM);
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Apply GLM methods to different epidemiological designs (ie clinical trials, cohort and case control studies);
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Apply GLM methods to different study outcomes (ie binary, continuous and survival);
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Understand statistical basis of studies of diagnostic accuracy and Bayesian analysis of clinical trials.
Credits
10 credits
Module Attendance Required
1 block week of teaching
Module Dates
2012/13
11 - 15 March 2013
Assessment
Analysis of a data set and report on results and interpretation
Academics involved in the delivery of this module
Alan Girling - Public Health & Epidemiology
Stand Alone Course
This module can also be taken as a stand alone course if required. To apply, please contact Tricia Henley, Programme Administrator, 0121 414 3163, mph@contacts.bham.ac.uk.
All applications for the module must be received by the course administrator a minimum of one month before the start date of the module.
Fee if taken as a stand alone course
For information on fees please contact the Programme Administrator.
Entry requirements if taken as a stand alone course
Students will need to have completed the following modules:
Substantial existing statistical knowledge and experience may be taken into consideration.