Statistical analysis

Statistical analysis allows us to deal with uncertainty in a principled way. This enables clients to make the best decision in an uncertain world.

From fisheries management to triaging immigration applications, all decision-making has to happen with imperfect knowledge. That means we build models that incorporate clearly stated assumptions and make the best use of the available data to quantify the uncertainties.

This process of model development and application enables our clients to evaluate all the possible outcomes. They are then able to make the best decision, confident that it’s backed up by data and sound, transparent analysis.

We are experts at applying Bayesian statistical models to complex real-world situations. The models incorporate prior information and system knowledge, as well as relevant subject matter expertise.

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Antipodean albatross population model

Action to halt the estimated annual 5 percent decline of the Antipodean albatross population is essential. The integrated population model and app we created allow stakeholders to explore the effects of different threats and management strategies. This is intended to help guide decisions to secure the future of the species.

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Expert knowledge combined fairly

We created an online survey to map the distribution of four species of sea turtle in the Pacific Ocean. The maps fed into simulations of turtle interactions with fisheries that were produced at an international workshop.

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Risks to seabirds were quantified

The National Plan of Action—Seabirds sets out the policy for managing interactions between fisheries and seabirds. Our seabird risk assessment underpins that policy - it supports the prioritisation of management actions and provides clear metrics for assessing the performance of the fishing industry.

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Technical review of a population study

We reviewed a koala population study, checking that the report authors had used appropriate spatial modelling and data analysis methods, and that its conclusions were fair.