Medical Statistics Short Course: 16 - 19 June 2020
About the course
Medical statistics plays an essential role in all stages of a quantitative health care research project from design through to analysis and interpretation. This intensive course covers the essential principles and methods required. Emphasis is on study design, appropriate analysis, and interpretation of results. The underlying concepts of statistical analysis as well as basic and some more advanced analysis techniques are covered. Sessions include lectures and practical work, both computer based (using Stata) and using small workshops for discussion. The course has been running for more than 30 years and is taught by experienced medical statisticians.
Organisers and Tutors
The course is jointly organised by UCL Statistical Science and the UCL Joint Research Office. The main speakers and tutors are: Prof Rumana Omar, Dr Gareth Ambler, Dr Julie Barber, Dr Aidan O'Keeffe, Dr Menelaos Pavlou and Dr Federico Ricciardi (UCL Statistical Science) and Professor Ian White and Dr Andrew Copas (UCL and MRC CTU at UCL).
Dates and times
16 - 19 June 2020. Registration will start at 9:00 on the Tuesday and the course will end by 13:00 on the Friday.
The course aims to teach health care researchers the essential elements of research methodology and statistics. The focus is mainly on interpretation and understanding appropriate methodology.
At the end of the course the participants will have gained an understanding of:
- The various design possibilities for a research project, and the important considerations for observational studies and randomised trials
- The types of data generated in research studies
- The most common methods of analysis for categorical and continuous data, including regression methods and survival analysis
- When particular methods are appropriate and how to interpret their results
- Reviewing and appraising published research
Who should attend?
The course is relevant to all health care professionals or anyone in the health care field who needs to understand, use or carry out health care research studies. Material covered is of an introductory and intermediate level and provides some references and foundation for more advanced techniques. The course assumes a familiarity with the statistical terms used in the medical literature (e.g. P-values and confidence intervals) but does not assume any deep understanding.
The course is structured into a number of teaching sessions per day, most consisting of a lecture followed by a practical. Practicals are either computer based for analysis work or workshop style in smaller groups. Discussion is very much encouraged. Participants are provided with an extensive course folder including presentations, practical questions, solutions and recommended reading.
The following topics are covered:
|Day 1||Day 2||Day 3||Day 4|
|Introduction to Data Analysis||Comparing Groups of Categorical Data||Further Regression Topics||Analysis of Correlated Data|
|Design of Observational Studies||Risk, Rates and Odds||Logistic Regression||Advanced Issues in Trials|
|Design of Randomised Trials||Comparing Groups of Continuous Data||Missing Data||Sample Size Calculations|
|Overview of Study Design||Correlation and Linear Regression||Analysis of Survival Data|
|Estimation and Hypothesis Testing|
Comments from previous participants
- "I was after an overview of statistics so that I could better understand and interpret what it is I read in medical journals and this course was perfect."
- "Maintained my interest throughout, engaging speakers, incredibly well designed course."
- "I wish I'd been taught this well at medical school!"
- "I have been taught Statistics many times in my undergraduate and post graduate studies but this is the first time that I have actually managed to understand it and feel confident to apply it! Thank you
- "I have enjoyed the course even though I don't like Statistics!"
- "I really enjoyed the course and feel much more confident than I did before I started."
- "The pacing and practical work suited all levels of ability and I feel I really consolidated my overall knowledge throughout the week."
- "Inspiring and a real treat, good enthusiastic teachers, superlative in all respects"
- "Practicals very well designed, tutors extremely patient and helpful"
- "As a surgeon my aim was to get an understanding of which statistics to use for certain studies. I think the course has done this well"
- "Very improved understanding of overwhelming statistical theory… course very well organised"
- "This is the best medical statistics course I have attended"
- "Please think very hard before trying to "improve" this marvellous, no-nonsense, no mumbo-jumbo statistics course!"
Books recommended as good accompaniments to the course and for background or further reading are:
- D.G. Altman Practical Statistics for Medical Research Chapman and Hall
- J.M. Bland An Introduction to Medical Statistics Oxford
- B.R. Kirkwood and J.A. Sterne Essential Medical Statistics Blackwell
This course is accredited with 21 CPD points from the Royal College of Physicians. Participants who complete the course will receive a certificate of attendance.
Public Sector (Early Bird until 31 March): £700
Public sector: £850
Commercial sector: £1000.
This fee is to be paid in full before the course date and includes refreshments, lunch and printed course materials.
Please register via the UCL Store. Payment should be made using a debit or credit card.
UCLH/UCL Award Places
Up to ten award places are available for researchers from UCLH or the UCL Medical School (excluding those on training fellowships). An award offers a reduced fee of £200 per participant. To apply for an award place, please contact Katie Osborn (email@example.com).
The course will be held in the Department of Statistical Science, University College London (UCL). This is located at 1-19 Torrington Place, WC1E 7HB, just off Tottenham Court Road.