Overview
Regression analysis is a fundamental statistical technique used to model the relationship between multiple variables. It is a very flexible tool that can handle a range of different data types (continuous, binary or categorical) and address both complex and simple research questions. In this hands on workshop you will learn how to fit a range of regression models with R, how to interpret the output and the link between regression and other common statistical tools.
Course objectives
This course will covering the following:
- Understand the types of questions regression can be used to answer.
- Be able to fit a linear regression model with multiple predictor variables.
- Be able to fit logistic regression model with multiple predictor variables.
- Be able to extract and summarise the results from a range of regression models.
- Be able to design a regression model appropriate for addressing their specific research question.
Pre-requisite knowledge
Learners are expected to already be familiar with the basics of R, such as how to load a dataset from a local file and manipulate variables.
Workshop format
This a hybrid workshop run over 1 sessions. The schedule can be found here.
Upcoming course dates
Session name | Dates | Time | Venue | Sign up link |
---|---|---|---|---|
Session 1 | 26th January | 10am -1pm | Training Room 4, Old Library Steatham Campus | Registration is closed |
Set-up instructions for attendees
If you have registered for this course you can find the instructions for setting up your computer here.
Start course
If you are unable to attend any of the dates above the notes for this course are available here and are freely available to work through in your own time. Please note that you will need to have completed the set up instructions above.
Follow up courses
On completion of these course you will be invited to join a network of other participants. This is a supportive forum for you to ask follow up question and receive tailed invites to follow on courses.
Feedback
Please remember to complete a feedback survey. Our workshops are under continual review and your experiences, suggestions and criticism are invaluable for shaping the direction of this initiative. This is especially important if you complete the materials in your own time as it enables us to measure impact. If you have ideas on other courses you would like to see then please contact us: CodingForReproducibleResearch@exeter.ac.uk.
Join us
If you are interested in becoming part of our community of workshop helpers, leaders and developers please contact us: CodingForReproducibleResearch@exeter.ac.uk.
Acknowledgements
This course has been developed for the Coding for Reproducible Research programme a network of researchers and Research Software Engineers who are enthusiastic about sharing their skills with the wider research community. If you have benefitted in any way from this course and want to support its long term sustainability then please take the time to complete our feedback survey, recommend it to your colleagues, and enthuse about it to your senior leadership team.
This workshop is brought to you by:
- The University of Exeter Research Software Engineering Group
- The Institute of Data Science and Artificial Intelligence
- The University of Exeter Researcher Development Programme
- The University of Exeter Doctoral College