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Research Topic : STATISTICAL MODELS
Scheme : Discovery Projects
Australian State/Territory : WA
Australian State/Territory : VIC
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP190103538

    Funder
    Australian Research Council
    Funding Amount
    $420,000.00
    Summary
    Deep ocean thermodynamics and climate change. This project aims to obtain new insights into the thermodynamic and transport properties of mixtures containing water, particularly at high pressures, that impact directly on our understanding of climate change processes. The project will involve the use of a polarisable potential for water which has recently been demonstrated to yield predictions of high accuracy. It will be used to model saline water mixtures containing carbon dioxide, resulting in .... Deep ocean thermodynamics and climate change. This project aims to obtain new insights into the thermodynamic and transport properties of mixtures containing water, particularly at high pressures, that impact directly on our understanding of climate change processes. The project will involve the use of a polarisable potential for water which has recently been demonstrated to yield predictions of high accuracy. It will be used to model saline water mixtures containing carbon dioxide, resulting in valuable data for thermodynamic properties of the world's oceans. These data are of crucial importance for accurate climate change predictions and as such the project will have an important impact on understanding our changing environment.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100748

    Funder
    Australian Research Council
    Funding Amount
    $350,000.00
    Summary
    Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for mis .... Modelling health: Reporting behaviour and misclassification using survey data. Empirical models based on large scale survey data sets are used by health economists to inform policymakers. However, in the case of sensitive topics, a potential for survey misreporting may lead to inaccurate estimates of aberrant behaviours. To date, little work has been done analysing the extent and consequences of inaccurate reporting, especially within health economics. By addressing areas where potential for misinformation is high, the overall quality of results will be enhanced. This research will be submitted to highly ranked health economics and econometrics journals to be made available to relevant policymakers intent on ensuring a healthy society.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100743

    Funder
    Australian Research Council
    Funding Amount
    $341,000.00
    Summary
    Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models domin .... Threshold models in micro-econometrics with applications to empirical models of health. The aim of this project is to develop and apply new statistical approaches to endogenously identify non-linear relationships between explanatory variable(s) and the response variable in non-linear econometric models and to illustrate these with applications important to empirical health economics. Literature proliferates in linear models with non-linear effects, but in health economics non-linear models dominate. This project will generalise these techniques to allow for various forms of the threshold variable(s), including categorical and continuous, endogenous and exogenous, and those measured with error.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP240102286

    Funder
    Australian Research Council
    Funding Amount
    $424,283.00
    Summary
    Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings in .... Optimising disease surveillance to support decision-making. COVID-19 has demonstrated the critical role of epidemic data and analytics in guiding government response to pandemic threats, reducing disease and saving lives. The demand for epidemic analytics for response to threats of national significance will only grow. The goals of this project are to 1) determine the combination(s) of surveillance methods that provide the most useful data for epidemic analysis and 2) translate these findings into the blueprint for a next-generation infectious disease surveillance system for Australia. We will use a simulation-evaluation approach, coupling methods from infectious disease modelling with those from information theory optimal design. Outcomes will enable more tailored and effective pandemic response.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101350

    Funder
    Australian Research Council
    Funding Amount
    $567,988.00
    Summary
    Labour Market and Health Dynamics of Australia's Front Line Workers. Australia’s front line workers are there in times of greatest need, but face significant health risks. These risks are expected to increase with the predicted growth in natural disasters, and these concerns have been heightened by the COVID-19 pandemic. This project will apply econometric methods to population-based administrative data to study (1) the determinants and patterns of recruitment and retention into these occupation .... Labour Market and Health Dynamics of Australia's Front Line Workers. Australia’s front line workers are there in times of greatest need, but face significant health risks. These risks are expected to increase with the predicted growth in natural disasters, and these concerns have been heightened by the COVID-19 pandemic. This project will apply econometric methods to population-based administrative data to study (1) the determinants and patterns of recruitment and retention into these occupations, (2) how labour market and health outcomes are impacted by exposure to major disasters; and (3) the impact of the pandemic on labour market and health outcomes. The project will provide insights that can inform policies designed to protect the health of front line workers and meet future workforce demands.
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