Overview of Regressions with R

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Start - End
1 Mar - 4 Mar
Study Options
£ 350
Contact Name
Centre for Applied Statistics Courses
Contact Email

01 March 2021–04 March 2021, 9:30 am–1:00 pm

This two-day course provides an overview of the most commonly applied types of regression modelling and their application in R.

NOTE: Due to the coronavirus outbreak, all courses will now be delivered online through a live video feed. You can expect the same level of group and individual support as you would have received in our face-to-face courses.

This course will provide an overview of a variety of regression types and models (as listed below) using the R software, via the use of functions lm and glm. Ways of performing model fitting, model diagnostics, predictions and relevant graphical displays will be shown.

  • Linear regression
  • Logistic regression
  • Ordinal logistic regression
  • Poisson regression
  • Negative Binomial regression
  • Survival/Cox-proportional hazards
  • Multilevel linear regression (time permitting)

The course is suitable for those who are able to use R to perform basic data manipulations and produce summary tables and graphs (these skills are taught on our one day R course - Introduction to R). Additionally, delegates will be expected to have a basic understanding of common statistical tests and concepts (such as p-values and confidence intervals) as these will not be taught during this workshop (these are taught on our five day course - Introduction to research methods and statistics).

Everyone wishing to attend should ensure R and Rstudio are installed (installation guidelines will be made available two weeks before the course).

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