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Improved theory and practice in econometric modelling of nonlinear spatial time series. Modern Australia faces many challenges in economic and global climate changes, which require advanced statistical technologies in modeling and forecasting of econometric spatial time series data. This project will provide flexible models and methods that enable practitioners to more accurately measure and manage economic and climatic risks.
The D-Health Trial: A Large-scale Population-based Trial Of Vitamin D Supplementation For Improving The Health Of Older Adults
Funder
National Health and Medical Research Council
Funding Amount
$2,591,860.00
Summary
The D-Health Trial is a randomised placebo-controlled trial of vitamin D supplementation for improving the health of older Australian adults. Over 21,000 people were recruited and randomised to monthly doses of vitamin D or placebo. This grant will enable completion of the planned 5 years of supplementation and long-term follow-up of mortality and cancer. The results of the trial will inform decisions about food fortification and/or supplementation with vitamin D.
Discovery Early Career Researcher Award - Grant ID: DE170100787
Funder
Australian Research Council
Funding Amount
$331,000.00
Summary
Misspecification in models of economic behaviour. This project aims to develop a robust method for estimation and inference with misspecified economic models. Economic models are designed to test hypotheses about economic behaviour and to estimate key parameters, but their validity and accuracy critically depend on the assumption that the model is correctly specified, which is often doubtful. This project will reparametrize the model to allow for misspecification. The project aims to help modell ....Misspecification in models of economic behaviour. This project aims to develop a robust method for estimation and inference with misspecified economic models. Economic models are designed to test hypotheses about economic behaviour and to estimate key parameters, but their validity and accuracy critically depend on the assumption that the model is correctly specified, which is often doubtful. This project will reparametrize the model to allow for misspecification. The project aims to help modellers produce results that better inform decision-makers and help them make more reliable decisions.Read moreRead less
Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bu ....Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bulk of the data. As a consequence, the statistical analyses may lead to wrong conclusions. This project aims to develop new methodologies to solve this problem for a large class of studies. Applications to stock market risk, exchange rate, and diagnosis of heart diseases will illustrate the new methods.Read moreRead less
The effect of acquiring a disability in adulthood. This project aims to analyse the effect the acquisition of a disability in adulthood has on subsequent socio-economic circumstances (employment, housing, education, income, social capital, wealth) and wellbeing. Researchers from epidemiology, econometrics and statistics will use longitudinal data to model the patterns of disability and subsequent socio-economic and health circumstances over time. The methods aim to make causal statements and pro ....The effect of acquiring a disability in adulthood. This project aims to analyse the effect the acquisition of a disability in adulthood has on subsequent socio-economic circumstances (employment, housing, education, income, social capital, wealth) and wellbeing. Researchers from epidemiology, econometrics and statistics will use longitudinal data to model the patterns of disability and subsequent socio-economic and health circumstances over time. The methods aim to make causal statements and provide a template for research and evaluation in this field. Outcomes are expected to set priorities for action to improve socio-economic conditions, productivity and health for people with disabilities.Read moreRead less
Engineering MYCN Models Of High-grade Serous Ovarian Cancer (HGSC)
Funder
National Health and Medical Research Council
Funding Amount
$797,478.00
Summary
The most lethal type of ovarian cancer, high-grade serous cancer (HGSC), can be divided into four subtypes based on gene patterns. One subtype involves a set of genes/proteins that, in their specific combination, result in activation of a pathway known as MYCN. As most HGSC start in the fallopian tube, we are using fallopian tube material to make new MYCN HGSC models to observe development in the earliest stages. We hope to generate new tests and treatments for this subtype of ovarian cancer.
Functional Effects Of Polymorphic Variation Of The Aromatase (CYP19) Gene On Enzyme Activity:relationship To Disease
Funder
National Health and Medical Research Council
Funding Amount
$237,708.00
Summary
After menopause, oestrogen synthesis changes from an ovarian to an adipose source by concersion of androgens to estrogens, a process catalyzed by aromatase, the product of the CYP19 gene. We will generate mutants of the CYP19 gene that we have previously found in humans by site-directed mutagenesis and observe the effects of these mutants on aromatase function. This research will help with diagnosis and treatment of breast and other cancers and osteoporosis in humans .
Discovery Early Career Researcher Award - Grant ID: DE120101130
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
New models and estimation methods in nonlinear panel data econometrics. This project will develop new econometric models and methods for capturing dynamic and complex relationships within economic and social systems. The outcomes of this project are expected to improve policy making process concerning climate change, economy and financial markets, through providing accurate estimates of relationships of interest.
Exploiting And Defining The Immune Regulatory Activities Of BET Bromodomain Inhibitors
Funder
National Health and Medical Research Council
Funding Amount
$923,222.00
Summary
Immune-based agents such as “checkpoint inhibitors” have the ability to re-awaken our own immune systems and activate previously dormant anti-tumor responses. We have discovered that small molecule inhibitors of gene regulatory proteins called bromodomain proteins act synergistically with checkpoint inhibitors in mouse cancer models. We will define the molecular and biological events underpinning this novel combination approach and assess the effects of the combination across different tumors.
Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as vo ....Modelling Hidden Processes which Drive Economic and Financial Systems. The ability to forecast complex economic systems is crucial to benefit from peak performance, and to prepare for and safeguard against downturn. This project aims to make significant discoveries concerning hidden processes which drive such systems, using rigorous, cutting-edge, flexible econometric methods. Resulting outcomes will be improved understanding of - and ability to forecast - important economic phenomena such as volatility in price series, extremal (risky) behaviour of financial systems, and turning points of the business cycle. Discoveries will be disseminated through published papers and presentations at a major international conference. Ongoing e-research links with France will also be established.Read moreRead less