Using simulation studies to evaluate statistical methods
Next date: 22 May 2018, London
Simulation studies are an important tool for statistical research. They help us understand the properties of statistical methods and compare different methods. To perform a meaningful simulation study, careful thought needs to be put into the planning, coding, analysis and interpretation.
By the end of the course, participants will be able to:
- Explain the rationale for simulation
- Understand the importance of careful planning
- Have the tools to code and debug simple simulation studies in Stata
- Know how to analyse simulation studies producing estimates of uncertainty
- Present methods and results for publication
- Methodological or applied statisticians who need to evaluate the statistical properties of one or more methods
- PhD students using simulation studies
- Readers of methodology articles which evaluate methods by simulation
Participants should be familiar with Stata and know, for example, how to generate data, run a regression command and produce simple graphs.
Practicals will be taught using Stata. Attendees will need to bring a laptop with Stata (version 12 or later) installed. If this is likely to be a problem, please get in touch with the course organisers.
Examples will be taken from the lecturers’ experiences, primarily relating to medical statistics. Principles are the same for simulation studies in other applied areas but the examples may be less relevant.
Wolfson Centre, Mecklenburgh Square London WC1N 2AP. Further details will be e-mailed to delegates after registration.
The cost covers copies of the course lectures and practicals, lunch and tea/coffee breaks
Registration fees are:
More information available on the course page.