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Australian State/Territory : QLD
Field of Research : Health Economics
Research Topic : statistical methods
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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

    ARC Future Fellowships - Grant ID: FT170100401

    Funder
    Australian Research Council
    Funding Amount
    $944,000.00
    Summary
    Improving productivity: theory and application to Australian hospitals. This project aims to improve existing methods for analysing productivity and efficiency of organisations. The new methods will be applied to Australian hospitals, to analyse their productivity and efficiency, identify the best-practices and their determinants and recommend improvements and necessary reforms. The high level of healthcare costs in Australia, about 5 percent of gross domestic product, as well as their rapid and .... Improving productivity: theory and application to Australian hospitals. This project aims to improve existing methods for analysing productivity and efficiency of organisations. The new methods will be applied to Australian hospitals, to analyse their productivity and efficiency, identify the best-practices and their determinants and recommend improvements and necessary reforms. The high level of healthcare costs in Australia, about 5 percent of gross domestic product, as well as their rapid and accelerating growth, imply that application of methods developed through this project may save billions of dollars and, more importantly, thousands of lives. An expected outcome of this project will be superior theoretical and practical methods for analysing productivity and efficiency of economic systems, to enhance understanding of the potential for improvements and of the necessary reforms.
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    Funded Activity

    Linkage Projects - Grant ID: LP0560611

    Funder
    Australian Research Council
    Funding Amount
    $522,011.00
    Summary
    Prediction of outcome following whiplash injury: a multicentre international prospective study. The main aim of this study is to validate a set of biological and psychological prognostic indicators of outcome following whiplash injury that we have previously identified in a single centre prospective cohort. Validation will be in the context of a large multicentre international cohort. This will allow stakeholders involved in whiplash such as health care and insurance providers to predict with co .... Prediction of outcome following whiplash injury: a multicentre international prospective study. The main aim of this study is to validate a set of biological and psychological prognostic indicators of outcome following whiplash injury that we have previously identified in a single centre prospective cohort. Validation will be in the context of a large multicentre international cohort. This will allow stakeholders involved in whiplash such as health care and insurance providers to predict with confidence both those persons at risk of developing chronic symptoms as well as those with a good chance of full recovery. Furthermore the validation of the predictive capacity of these indicators will, for the first time, provide predictive markers that are amenable to specific early multiprofessional treatment interventions.
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