Last modified: 31 Jul 2023 11:19
This course intends to develop a student’s statistical skills and understanding so that they can apply common multivariate regression modelling techniques to a range of health research data. The course will focus on the application, interpretation and communication of common regression models, including general linear models, log-linear models, logistic regression, and survival analysis. It assumes that students will already have completed a first course in statistics and have an understanding of bivariate techniques and basic mathematical skills.
| Study Type | Postgraduate | Level | 5 |
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| Session | Second Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
Sorry, we don't have a record of any course coordinators. |
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Health research often involves complex data which needs multivariate statistical techniques to answer research questions. This course will introduce you to key concepts in advanced regression modelling which can be applied to a range of data. It will cover some of the theory underlying different regression models and then take a practical approach to teach you how to investigate data in different contexts. You will use the statistical software package (SPSS) to apply different multivariate regression models, including how to check model assumptions, adjust for confounding and assess the model suitability. You will have the opportunity to analyse a variety of data sets and practice communicating the rationale for choice of statistical method and interpretation of results for a scientific audience.
There are no assessments for this course.
There are no assessments for this course.
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