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Status : Active
Research Topic : Panel Data Analysis
Field of Research : Epidemiology
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  • Researchers (31)
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE240100635

    Funder
    Australian Research Council
    Funding Amount
    $448,801.00
    Summary
    Understanding the development of lifestyle behaviours in early childhood. This project adopts novel statistical modelling and machine learning approaches to understand the development of lifestyle behaviours in early childhood. Despite the pivotal role of lifestyle behaviours in influencing health and quality of life, little research exists on lifestyle behaviours in early childhood. This project will establish a comprehensive understanding of lifestyle behaviours in early childhood by identifyi .... Understanding the development of lifestyle behaviours in early childhood. This project adopts novel statistical modelling and machine learning approaches to understand the development of lifestyle behaviours in early childhood. Despite the pivotal role of lifestyle behaviours in influencing health and quality of life, little research exists on lifestyle behaviours in early childhood. This project will establish a comprehensive understanding of lifestyle behaviours in early childhood by identifying key developmental time points, mechanisms of behavioural change, and children at risk of developing poor lifestyle behaviours. The project will inform strategies and policies to optimise lifestyle behaviours from the start of life and showcase the capabilities of novel methods in advancing behavioural epidemiology.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE220100456

    Funder
    Australian Research Council
    Funding Amount
    $375,288.00
    Summary
    The interaction between injury compensation and social security systems. With the ultimate goal of reducing the road traffic crash burden in Australia, on individuals, their families, and on the nation's social support systems, the project will determine the impact of pre-claim social factors on compensation system outcomes including claim duration, benefits and costs, and the impact of compensation system design on claim and social outcomes of road traffic crash survivors. Addressing an unmet n .... The interaction between injury compensation and social security systems. With the ultimate goal of reducing the road traffic crash burden in Australia, on individuals, their families, and on the nation's social support systems, the project will determine the impact of pre-claim social factors on compensation system outcomes including claim duration, benefits and costs, and the impact of compensation system design on claim and social outcomes of road traffic crash survivors. Addressing an unmet need, this project will determine the impact of macro-level compensation system design on social and claim outcomes and allows identification of groups at higher risk for poor post-crash outcomes, in whom earlier identification and intervention can improve these, and potentially save the Australian economy $300m annually.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP180103106

    Funder
    Australian Research Council
    Funding Amount
    $368,400.00
    Summary
    Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved .... Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved understanding, modelling, and tracking of the spread of diseases.
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    Showing 1-3 of 3 Funded Activites

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