UCL Learning Portfolio


Understanding Statistical Concepts in Research
Course Description:

This is an introductory but intensive programme on the practical application of statistical methods in research, the course is run over 4.5 days across two weeks. Approximately two-thirds of the participants are working in medical or clinical research, hence most, but not all, examples used throughout the course are from these fields. However, the concepts can be easily applied to any other subject. 

Students start from the basics and work up to advanced methods. A major feature of this course is that there is no algebra or presentation of the mechanics of the statistical methods used, which students say has been a hindrance to understanding medical statistics when taught elsewhere. All analyses should be done with statistical packages, without the need to understand in detail how the methods work. 

Our goal is to concentrate on knowing when to use the most appropriate statistical method for each analysis, but importantly, properly understanding the output and how study design influences the results. Terms such as confidence intervals and p-values are presented using simple language.

Exercises are covered each day and discussed with tutors within the sessions, whilst allowin


By the end of this course you will be able to:

  • Understand the statistical aspects of study design and analysis
  • Interpret research information and consider the implication of statistical results
  • Be aware of the different types of study design used in research, and understand the concepts of association and causality
  • Critically appraise published papers, and question the basis on which conclusions are drawn, using an understanding of research methodology and statistics
Intended Audience:
Research staff, and postgraduate research students at any stage of their projects, either with little/no knowledge of statistics or those who wish to refresh their memory.
Target Audience: UCL Research Staff and PG Research students only
01/02/2022 - 09/02/2022 Join Waiting List

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