Training and Events
Summer School: Intro to Stats, Regressions and R
|Child Health, UCL Institute of Child Health|
Prof Angie Wade
07/08/2017 - 11/08/2017
30 Guilford Street
View in Google Maps (WC1N 1EH)
Courses-general queries: +44 (0) 20 7905 2768
A week full of learning fascinating new skills, information and a new language in fact (R!): this is what this summer school course is all about.
At the Centre for Applied Statistics Courses we are very excited to offer places to our R London Summer School.
Participants will benefit from:
A unique combination of introduction to Statistics and R
Small number of attendees (max 20) with own computer/personal laptop
Two lecturers present at all times
Interactive format with every demonstration followed by free time to repeat at own pace
Participants from all backgrounds are welcome to this Summer School with no pprerequisites on Statistics or R.
By the end of the week, participants will be appropriately equipped to:
- Set out a plan of analysis for a research question accounting for all types of data involved and aspects of their question
- Choose the significance tests suitable to answer their question
- Make appropriate use of statistical inference methods
- Understand when regression methods are useful and which model to use when
- Evaluate the goodness of fit of the fitted model
- Perform all the above analyses in R
Teaching will take place every day from 10am to 4.30pm with regular coffee breaks and lunch between 12.45 and 1.45pm.
The following events will also take place during the week:
Monday 9.30-10am: Welcome Continental Breakfast, Registration, Receipt of Welcome Packs
Monday 5-6pm: Welcome Drinks at the Institute of Child Health
Wednesday 6pm: Evening meal
Thursday 6pm: Matilda – at the West End !
The price includes: All teaching materials (hard copies and online access), various goodies, lunch, refreshments and all events listed above
Advice on accommodation options is provided on our website but this will have to be booked individually by each attendee.
Entry (no or almost no prior knowledge)
Website and registration
Research Skills, Communication and Dissemination, regressions with R
Related publications and presentations