Centre for Applied Statistics Courses
Our statistics courses are designed for anyone who requires an understanding of research methods and statistical analyses. The training we provide helps non-statisticians to interpret published research and undertake their own research studies.
Extensive notes are provided for all courses, and teaching is interspersed with practical examples and activities throughout the day(s) to ensure that everyone has understood the key principles. We strive to create a relatively informal learning atmosphere, where participants are not afraid to ask questions or voice any confusion.
No prior statistical knowledge is assumed for our introductory course (Introduction to Statistics and Research Methods), but all other courses assume that the basics are understood.
The courses currently available at CASC are:
Introduction to Statistics and Research Methods
Introduction to SPSS*
Introduction to R*
Further Topics in R*~
Introduction to Meta-analysis*
Sample Size Estimation and Power Calculations*
Introduction to Dealing with Missing Data*
Introduction to Regression Analysis*
Introduction to Logistic Regression*^
Introduction to Survival/Time-to-Event Data Analysis*^
Overview of Regressions with R*~^
Multilevel Data Analysis using R*~^
ANOVA/GLMs with SPSS*
Assessing Measurement Reliability and Validity*
Introduction to Bayesian Analysis*
Analysing 2x2 Tables*
* Knowledge of basic statistical concepts is required/beneficial; we recommend the Introduction to Research Methods and Statistics course if you have little/no previous statistics experience; this course offers a good basis for all other CASC courses.
~ requires prior knowledge/experience of the R software.
^ We recommend attending the Introduction to Regression Analysis course first if you have no prior experience of regression analyses.
- Introduction to regression analysis now includes an optional second-day workshop in SPSS.
- Look out for our new summer schools, coming in August 2017 (advertising soon).
- New dates for Introduction to meta-analysis to be announced soon, with a new optional half-day workshop in R.
Who are we?
The Centre for Applied Statistics Courses (CASC) comprises Director of CASC Professor Angie Wade, Senior Teaching Fellow Miss Eirini Koutoumanou, Teaching Fellows Dr Dean Langan and Sophie Lee, and administrator Patricia John. Based within the UCL Institute of Child Health (ICH) and Great Ormond Street Hospital (GOSH), we run a variety of higher degree and short courses for non-statisticians.
The team also features a guest lecturer, George Michaelides, who runs the 'Multilevel Data Analysis using R' course.
For general queries/payments, call us on: +44 (0) 20 7905 2768
To contact a teaching fellow about the contents of a course, call us on: +44 (0) 77 30405 980**
**please note that the mobile phone is manned by teaching staff so we may not be able to answer your call straight away, but feel free to leave a message or forward your query on by email where it may be more quickly responded to.
Centre for Applied Statistics Courses (CASC), UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH
Where are we based?
CASC courses are typically based within ICH; 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.
Visitors to the Institute of Child Health
The Institute of Child Health and Great Ormond Street Hospital welcome visitors to take part in all of our teaching activities.
Visitors are responsible for securing their own accommodation. If accommodation is required this should be arranged before arrival and funded independently. Please visit the interactive map of hotels around the UCL GOS Institute of Child Health.