We provide short courses for anyone that requires an understanding of research methods and statistical analyses, to either interpret published research or 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 Research Methods and Statistics), or our summer schools, but all other courses assume that the basics are understood. Our courses usually take place weekdays between 10.00am and 4.30pm. Selected evening courses that run between 5.30pm and 8.15pm are often available.
- A new date has been added for our introductory module 'Introduction to Research Methods and Statistics' in the first week of 2020. Navigate to the course page and secure your place.
- Congratulations to our CASC colleague Eirini Koutoumanou on submitting her PhD thesis - good luck for the viva!
The courses running frequently at CASC are:
- Introduction to Statistical Thinking and Data Analysis (dates TBC for 2020)
- Introduction to Statistics and Regressions with R (dates TBC for 2020)
- Introduction to Research Methods and Statistics
- Critical Appraisal
- Introduction to Logistic Regression*^
- Introduction to Poisson Regression*^
- Introduction to Survival/Time-to-Event Data Analysis*^
- Assessing Measurement Reliability and Validity*
- Introduction to Bayesian Analysis*
- Chi-square and Beyond for 2x2 Tables*
- Introduction to Latent Class Analysis*
Classroom-based courses (with an optional software workshop):
- Introduction to Meta-Analysis* (with optional R workshop~)
- Introduction to Dealing with Missing Data* (with optional SPSS workshop)
- Introduction to Regression Analysis* (with optional SPSS workshop)
Mixed courses with integrated statistical theory and software:
- Sample Size Estimation and Power Calculations with Excel*
- Overview of Regressions with R*~^
- ANOVA/GLMs with SPSS*
Statistics software courses:
Alternatively, please see the events calendar for a chronological list of statistics courses running at ICH (note: this calendar only shows the most imminent date for each course).
* 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.
- Who are we?
The Centre for Applied Statistics Courses (CASC) comprises Director of CASC Professor Angie Wade, Senior Teaching Fellows Eirini Koutoumanou and Dr Dean Langan, Teaching Fellows Chibueze Ogbonnaya and Dr Joanna Lewis, and administrator Joshua Collins. Based within UCL Great Ormond Street Institute of Child Health, we run a variety of higher degree and short courses for non-statisticians.
- Contact us
Please see our FAQ page before making an enquiry about our courses.
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?
Our courses are usually based near to GOS Institute of Child Health; the nearest underground station is Russell Square on the Piccadilly line. Holborn, Chancery Lane, Euston and Kings Cross stations are all within walking distance.
Please take note of the exact location given to you via email once you register for a course.
- Visitors to the GOS Institute of Child Health
Great Ormond Street Institute of Child Health 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 nearby.
- Online materials
The following teaching materials and tools are available online:
- Online materials from our week-long course 'Introduction to Statistics and Research Methods'
- Spreadsheets for analysing 2x2 tables that compliment our one-day course 'Chi-square and Beyond for 2x2 Tables'
- Spreadsheets for doing sample size calculations, related to the course 'Sample Size Estimation and Power Calculations with Excel'
- Moodle pages for all courses (only accessible with a password given on registration)