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.Read moreRead less
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.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100035
Funder
Australian Research Council
Funding Amount
$4,743,710.00
Summary
ARC Training Centre for Innovation in Biomedical Imaging Technology. The ARC Training Centre for Innovation in Biomedical Imaging Technology expects to train 20 industry-ready innovation scientists who will undertake industry-driven research in the development and application of novel diagnostics, therapeutics and theranostics. They will inform changes in regulatory policy that support industry growth. The Centre will build multidisciplinary links between researchers and within industry to devel ....ARC Training Centre for Innovation in Biomedical Imaging Technology. The ARC Training Centre for Innovation in Biomedical Imaging Technology expects to train 20 industry-ready innovation scientists who will undertake industry-driven research in the development and application of novel diagnostics, therapeutics and theranostics. They will inform changes in regulatory policy that support industry growth. The Centre will build multidisciplinary links between researchers and within industry to develop ‘smart’ probes and ‘smart’ scanning, harnessing the digital revolution for better, cost effective diagnostic imaging and improved health outcomes.Read moreRead less