Close
Masterclass: How to Check a Simulation Study
20 April 2023, 1:00 pm–2:30 pm
Simulation studies are a powerful tool in epidemiology and biostatistics, but they can be hard to conduct successfully. This masterclass provided by Ian White, Tra My Pham and Matteo Quartagno offers some guidance.
This event is free.
Event Information
Open to
- All
Availability
- Yes
Cost
- Free
Organiser
-
Network of Applied Statisticians in Health
Location
-
Levinsky Room30 Guildford StreetLondonWC1N 1DPUnited Kingdom
Simulation studies are a powerful tool in epidemiology and biostatistics, but they can be hard to conduct successfully. Sometimes unexpected results are obtained. The speakers (Ian White, Tra My Pham and Matteo Quartagno) offer advice on how to check a simulation study when this occurs, and how to design and conduct the study to give results that are easier to check. illustrate the ideas using an example simulation study with code in Stata and R.A preprint is available at https://osf.io/cbr72/, and attendees may wish to download the example files in Stata or R from this site.
(This will be a hybrid event, details on how to join the online event is given on the registration website)
This event organised by UCL's Network of Applied Statiscians in Health.
About the Speakers
Ian White
Professor at UCL
More about Ian WhiteTra My Pham
Senior Research Fellow at UCL
More about Tra My PhamMatteo Quartagno
Senior Research Fellow at UCL
More about Matteo Quartagno