This event listing has been set up to allow registrations for those wishing to view David Steel's (University of Wollongong) seminar over Zoom instead of in person. 

Full seminar details for attending in person are available at https://www.statsoc.org.au/event-3960104.

What could we expect from randomly selected samples for estimating the prevalence of COVID-19?

Professor David Steel
University of Wollongong

Abstract

The prevalence of COVID-19 in the population is still very low, which means that the number of cases that would be found in a random sample is expected to also be very low, leading to confidence intervals that may be regarded as relatively wide. This talk will consider the reliability and usefulness of estimates that different sized samples and methods might be able to provide.

About the Speaker

David Steel is Director of National Institute for Applied Statistics Research at the University of Wollongong. His research and consulting projects focus on survey methodology, sample survey design and analysis methods for complex social, health and economic data. He has undertaken survey design and analysis projects with a number of national and international agencies. He has BSc (Hons) from the University of Adelaide, MSc in Statistics from ANU, and a PhD from the University of Southampton and is an elected member of the ISI.

Meet us in person

See https://www.statsoc.org.au/event-3960104 for details of the in-person event. 

For further information please contact the Branch Secretary, Rick Tankard, Murdoch University.
He can be reached by email at rick.tankard@murdoch.edu.au or by phone at (08) 9360 2820.