Overview
UCL's Introduction to Regression Analysis course takes place either online or in person over two or three days.
Key facts
- The main part of the course focuses on the theory behind regression analysis, in particular linear regression, and covers the formulation, interpretation and validation of linear regression models.
- An optional extra two days allow delegates hands-on use of a statistical package (SPSS) to see how the theory can be applied to answer a specific research question.
Programme Structure
Courses include:
- Where within a trial you may wish to adjust for factors that differ between treatment groups to gauge the true effect of treatment.
- In observational studies where you might want to take into account differences between the demographics or health behaviours of two or more subgroups.
- When considering the combined effects of different factors, which may facilitate understanding of variation in outcome.
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- London, United Kingdom
Disciplines
Mathematics Computer Sciences View 101 other Short Courses in Computer Sciences in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is suitable for quantitative researchers or anyone who needs an understanding of introductory-level regressions analysis.
It will also be of interest to those using alternative statistical packages as the concepts discussed throughout the course are generally applicable.
Tuition Fees
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International Applies to you
Applies to youNon-residents75 GBP / full≈ 75 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents75 GBP / full≈ 75 GBP / full