The National Institute for Applied Statistics Research Australia (NIASRA) is committed to developing and applying innovative statistical methods to important problems. It undertakes a range of fundamental and contract research, major consulting projects, and professional education in statistical methodology.
Our aim is to provide leading-edge research and consulting capacity in applied statistics for Australia and our region through the skills and activities of our staff and research students. We collaborate extensively with researchers and professionals in universities, governments, businesses and industries in Australia and overseas.
Our research in applied statistics is focused on Biometry and Bioinformatics, Environmental Informatics, and Survey Methodology. NIASRA has expertise and extensive experience in design and analysis for complex data and populations.
Read more about the Institute on the 'Introduction to NIASRA' page.
Upcoming Events
Research Fellows Meeting, Goulburn 20 November 2019
Past Events
Spatio-Temporal Statistics with R, 29-30 April 2019
Research Fellows Meeting, Goulburn, 3 April 2019
Stats Week 2019, Monday 4 to Thursday 7 February 2019.
- Microbiome Data Analysis presented over two days by Olivier Thas (Hasselt University, Belgium, Ghent University, Belgium and University of Wollongong, Australia) and Stijn Hawinkel (Ghent University Belgium)
- Assessing Measurement, Reliability and Validity by Professor Angie Wade (University College London)
- Sample Survey Methods presented by Professor David Steel (Director NIASRA University of Wollongong, Australia)
Multilevel Modelling in R, 23 November 2018
A short course presented by Mark Tranmer (University of Glasgow, Scotland, UK)
Prof Ray Chambers: Nudging a Pseudo-Science Towards a Science, NSW Branch of the Statistical Society of Australia Annual Lecture 6.00pm Wednesday 28 November, UTS Function Centre, Sydney.
SAGI Symposium, 8-9th August 2018
Symposium on Bioinformatics and Biometrics for Plant Breeding Programs, 25-26th July 2018
High-Dimensional Data Analysis - A short course presented by Olivier Thas, 5-6 Feb 2018
International Conference on Robust Statistics, July 2017
