Choosing an appropriate sample size is a common problem and should be given due consideration in any research proposal, as an inadequate sample size invariably leads to wasted resources. Hence objective sample size determination is increasingly requested by regulatory authorities in a number of disciplines.
This course aims to give a practical introduction to sample size determination, or power calculations, in the context of some commonly used significance tests. Examples from a scientific background will be used to highlight the problems associated with sample size determination, and suggest potential solutions. Practical work will be based around the free statistical software R; see https://www.r-project.org/. Formulae and algebraic notation will be kept to a minimum.
All training is online and will be delivered live between 09:00 and 17:30 (GMT+1). The delivery platform is Zoom, which may be freely accessed. Questions may be asked using Zoom's chat box. Note our online courses are delivered by a team of two presenters, meaning at least one presenter is always available to provide additional support. During presentations the team member who is not speaking can take questions in addition to the presenter.
Who Should Attend?
Scientists and related who need to address the problem of sample size determination or power calculations in planning a study. Participants will be assumed to have a working knowledge of sampling distributions, confidence intervals and significance tests for both means and proportions.
No previous experience of the R software is required.
How You Will Benefit
This course will give you a sound introduction to sample size determination, and be able to conduct common power calculations using the free R software. Opportunity will be given to participants to discuss general issues related to sample size.
What Do We Cover?
The course will make use of our R functions which will be made freely available.
Practical work will be done in R.