Final Report: Joint investigation into statistical methodologies underpinning the derivation of toxicant guideline values in Australia and New Zealand
This report summarises the outcomes of a one-year joint collaborative research project involving Australian and Canadian researchers who undertook extensive investigations into methodologies and tools associated with SSD modelling, focusing on Burrlioz and ssdtools.
Research undertaken included exploring and resolving issues with numerical instability and developing alternative solutions for estimating hazard concentrations (HCx) and/or associated 95% confidence intervals of the Burr III and inverse Pareto distributions; comparisons between Burrlioz and ssdtools using collated benchmark and synthetic datasets; the development and evaluation of mixture distributions as a potential candidate for accommodating bimodal data; and an assessment of bias and coverage across a range of candidate distribution sets used in model averaging. Based on the findings, the project recommends that the Australian-New Zealand and Canadian jurisdictions adopt the R-package ssdtools using an expanded default set of distributions.
The report was prepared for the Department of Agriculture, Water and the Environment.
Data and resources
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Also linked on Environmetrics Australia - https://environmetrics.net/resources/documents-and-reports/HTML Open
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Fox D.R., Fisher R., Thorley J.L., Schwarz C. (2022) Joint Investigation into statistical methodologies underpinning the derivation of toxicant guideline values…PDF Open
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audio/basic Open
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audio/basic Open
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audio/basic Open
Additional information
| Date (revision) | 2026-10-24 |
|---|---|
| Status | completed |
| Update frequency | notPlanned |
| Metadata language | en |
| License | All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services. |
| Source metadata | ISO 19115 XML |
| Last updated | 2026-11-05 |
| Created | 2026-11-05 |
| API | package_show |