Design and Analysis Course 2012

Organisers and Tutors

The course is jointly organised by: Biostatistics Group (UCLH/UCL Biomedical Research Unit) and Statistical Science (UCL).

The speakers are: Dr Rumana OmarDr Gareth Ambler, Dr Gianluca BaioDr Julie Barber (UCL Research Support Centre and UCL Statistical Science), and Paul Bassett ( UCL Research Support Centre).

Dates and times

12th - 13th September 2012.

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 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 are covered. Sessions include lectures and practical work, both computer based and using small workshops for discussion.

Course aims and objectives

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
  • 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. means, standard deviations, proportions, P-values and confidence intervals) but does not assume any deep understanding.

Course content

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:

  • Introduction to Study Design
  • Estimation and Hypothesis Testing
  • Design of Observational Studies
  • Design of Randomised Trials
  • Measures of Disease
  • Comparing Groups of Continuous Data
  • Comparing Groups of Categorical Data
  • Linear Regression
  • Sample Size Calculations

Recommended reading

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 has been accredited with 12 CPD points by the Royal College of Physicians).

Course fee

The registration fee for the public sector is £295 and and the commericial sector fee is £400. This fee is to be paid in full before the course date. Numbers are strictly limited on a first come first served basis.

The fee includes tea, coffee, lunch and course materials.

Special offer for UCL / UCLH / Royal Free researchers

The course is offered at the reduced rate of £100 for the first 20 applicants.

The fee includes tea, coffee, lunch and course materials.


The course will be held in central London at University College Londons (UCL) Department of Statistical Science. This is located at 1-19 Torrington Place, just off Tottenham Court Road. A map and details of public transport can be found at Maps of UCL.

How to register

Please contact Caroline Romain (details below)

Caroline Romain (Course Administrator)
(1st Floor Maple House)
Rosenheim Wing, Ground Floor
25 Grafton Way, 
Tel: +44 (0)20 3447 2178
Fax: +44 (0)20 3447 9937
Email: biostatistics@uclh.nhs.uk

Page last modified on 18 may 12 11:24