MRC Centre of Epidemiology for Child Health
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Research Methods and Statistics Course
"Enthusiastic lecturers great! Practicals really helped understanding. Really good to see examples worked through in writing (projector). Very useful that all examples in handbook were medical. I now feel more confident to practice evidence-based medicine."
"Really enjoyed the interactive voting in response to a question and the explanation of the right answer. Very useful to do practical exercises to check understanding. Both lecturers were very approachable and answered questions very well."
"Very well taught even though I don't have a medical background; good
balance of theory and practicals with a lot more information available
to access at a later date."
"I enjoyed having the poll system to reinforce understanding that there was a general understanding among the students. Class size was optimal as it was small enough for all of us to learn and large enough for the students to work together as a group."
" Really excellent course overall - I did A-level statistics and didn't retain any of it (oh dear) but this course was extremely well put together and presented and very relevant to both my own research and to my every day clinical/ evidence-based practice."
"Angie and Eirini were very good and helpful. The sessions were very informal with opportunity to discuss if anything was not very clear. Overall, excellent course. Thank you for your efforts and keep it up."
The centre runs a variety of introductory courses for health professionals who require an understanding of research methodology and statistical analyses. We also provide training in R statistical software.
The statistics courses are run by Dr Angie Wade, Senior Lecturer in Biostatistics and Director of Statistics at the UCL Institute of Child Health, and Miss Eirini Koutoumanou, Teaching Fellow.
To book a course visit www.ucl.ac.uk/stats-courses
All courses are held in central London and provide written documentation to augment the face-to-face tuition. Where appropriate there are practical sessions to help understanding and both tutors will be on hand to assist with any problems attendees may have. We aim to foster a non-threatening environment within which discussion is encouraged.
For full details of our courses, please visit www.ucl.ac.uk/stats-courses.
General enquiries (including registration and payment) can be made via email to firstname.lastname@example.org or by calling +44(0)2079052340, For course-specific queries please call +44(0)77 30405 980.
The list that follows includes topics that are currently organised to take place as well as topics that can be potentially organised depending on demand:
- Analysis of 2x2 tables
- Analysis of crossover trials
- Analysis of longitudinal data
- Clustered data
- Construction and use of centile ranges
- Critical appraisal
- Interim analysis
- Introduction to Bayesian analysis
- Introduction to data linkage
- Introduction to dealing with missing data
- Introduction to multilevel analysis
- Introduction to quantile regression
- Introduction to R for statistical analysis
- Introduction to research methodology and statistics
- Introduction to statistics with R
- Logistic regression
- Reliability and measurement error
- Regression analysis
- Sample size estimation and power calculations
- Survival analysis
Page last modified on 29 nov 12 18:22