2018 Summer school: Introduction to Statistics and Regressions with R
Jul 30, 2018 09:30 AM
End: Aug 17, 2018 04:30 PM
Dates for 2018 to be announced shortly: A five-day summer school to learn fascinating new statistical skills and a statistical programming language.
Note: CASC are also running the summer school Introduction to Statistical Thinking and Data Analysis (2018 dates TBC shortly). Please be aware that there is some overlap, so attending both schools is not recommended.
Participants will be introduced to the fundamental principles of statistics and to ways of conducting their own analysis, including significance tests and regression techniques. The excellent free software Rstudio will be introduced and used for all practical aspects of the course which is a user-friendly interface for R. In more detail, this summer school will cover:
- An overview of quantitative research study designs
- Types of data
- Graphical displays
- Summaries of data
- Confidence intervals
- Hypothesis testing (parametric and non-parametric tests)
- Regression analysis (including linear regression, logistic regression, ordinal logistic regression, poisson regression, negative binomial regression, and survival/Cox-proportional hazards regression)
Neither prior knowledge of R (or similar software) nor statistical analysis is required.
The course will take place in a cluster room, with access to a computer and all the required software. Delegates are welcome to bring their own laptops if preferred (access to the UCL Guest network will also be provided), but everyone wishing to bring their own computer should ensure Rstudio is installed before attending (installation guidelines will be made available two weeks before the course).
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 best way of graphically displaying their data and results
- Choose the significance tests suitable to answer their question
- Make appropriate use of statistical inference methods
- Understand when regression methods are useful
- Choose the most suitable regression model for their analysis
- Evaluate the goodness of fit of the fitted model
- Perform appropriate model diagnostics and predictions
- Perform all the above analyses in the Rstudio software package.
The school will take place in a teaching room close to the Institute of Child Health. Specific details of the course venue will be supplied after registration.
The nearest underground station is Russell Square on the Piccadilly line. Holborn, Chancery Lane, Euston and Kings Cross stations are all within easy walking distance.
2018 dates to be announced shortly (Monday to Friday)
Day Time Details Monday
9.30am – 10.15am Registration and welcome pack (with tea, coffee and pastries) 10.15am – 4.30pm School day 1 * 4.30pm – 6.00pm Welcome reception Tuesday 10.00am – 4.30pm School day 2 * Wednesday 10.00am – 4.30pm School day 3 * from 6.00pm Summer school dinner Thursday 10.00am – 4.30pm School day 4 * from 7.30pm Evening at the theatre Friday 10.00am – 4.30pm School day 5 *
*Each school day includes 4 sessions (1 hour 15 mins each). There will also be two 15 minute breaks (tea, coffee, fruit and biscuits included) and one hour for lunch (12.45pm - 1.45pm).
Note: The school will run from 9.30am on Monday until 4.30pm on Friday, but other aspects of the timetable are provisional and subject to change.
- Evening social events
The organised social activities below are free to all summer school participants.
Monday: An evening reception, to welcome you and give you a chance to network with teaching staff and other participants. Drinks (alcoholic and non-alcoholic) and snacks will be provided.
Tuesday: A free evening to explore London.
Wednesday: Summer school dinner (details to be published shortly).
Thursday: Any summer school in London would not be complete without a trip to a west end musical. Theater show TBC
Note: all group social activities are provisional and subject to change
Participants are responsible for securing their own accommodation and this should be arranged before arrival and funded independently.
UCL student accommodation is available and accepts short-term bookings from external visitors:
Alternatively, the following hotels are less than 10 minutes walk to the teaching venue:
- 2018 Fees
This fee includes:
- A welcome pack
- Printed course materials
- Refreshments during breaks
- All lunches (from 12.45pm – 1.45pm)
- Social events
Please note that no refunds will be given for cancellations made within two weeks of the start date or for non-attendance. Cancellations made within two to four weeks of the start date will incur a fee of 25%.