Overview of Regressions with R

Book Now (Hybrid)

NOTE: This course will be delivered in hybrid mode, i.e. the in-person lecture will be transmitted live on zoom. The face-to-face part of the hybrid courses will go ahead conditional on at least 5 participants registering for this mode of delivery. Few classes may be delivered exclusively online, so please check under the Future dates tab for clarification. The online part of the class will be supported by its own dedicated teaching staff (along with the lead lecturer), therefore participants can expect the same level of group and individual support as the face-to-face class. You will be able to choose your preferred mode of attendance (face-to-face or online) during registration.

Details

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).

Fees

Course fees

External Delegates (Non-UCL)	£350.00
UCL Staff and Students	£175.00 *
UCL Alumni	£175.00*
ICH/GOSH	£175.00

* 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.

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.

Future Dates

Dates	Time	Apply
26th June and the 28th of June 2024	9.30am - 17.00pm	Book Now

^We recommend logging in 10 minutes prior to the scheduled start time to access materials and ensure the course can start promptly at 9.30am.

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.""Fantastic course. Very good and detailed lessons. Extremely useful. I would strongly recommend."