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Overview of Regressions with R

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

More dates to be announced for the academic year 2018-19.

Details

Course Outline:

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 1 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 5 day course - Introduction to research methods and statistics).

The course will take place in a cluster room. Delegates are welcome to bring their own laptops and access to the UCL Guest network will also be provided. Everyone wishing to bring their own computer should ensure R and Rstudio is installed before attending (installation guidelines will be made available two weeks before the course).

Location:

UCL Institute of Child Health, London

All CASC courses take place in central London, in or close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.

Fees

Course Fees

External Delegates (Non-UCL) £250.00
UCL Staff, Students, Alumni (incl. ICH/GOSH) £125.00 *

* Valid UCL email address and/or UCL alumni number required upon registration. Please note, this category does not include hospital staff unless you hold an official contract with the university.

Prices include printed course materials, refreshments (and lunch for non-ICH/GOSH participants 12.45pm - 1.45pm)

Cancellations

Please note that no refunds will be given for cancellations made within five working days of the course start date or for non-attendance. This is needed to cover printing, catering, etc. costs that are ordered no later than 5 days before the course.

Future dates

More dates to be announced for the academic year 2018-19.

Feedback
"An excellent course, pitched and paced at the right level for me. Will recommend it very highly to colleagues."
"Overall this was a really excellent course over the 2 day period and I was really happy with what I learnt. The quality of the teaching really was excellent with [the teacher] being really useful in her comparisons and definitions. I was very impressed with the content of the course, the teaching the facilities and would definitely recommend to other people!!"
"Before taking the course, I felt that R is so distant, complicated & fancy. This 2-day course has swiftly turned me into a confident R user. Magic!"
 "Excellent course. It was very informative and I learned a lot."
 "Fantastic course. Very good and detailed lessons. Extremely useful. I would strongly recommend."