Min/Max Autocorrelation Factors in Time Series Studies of the Adverse Health Effects of Ozone. The annual health costs associated with exposure to air pollution in Australia have been estimated at between $3 and 5.3 billion. Given these costs, it is vital to conduct research that ensures public health officials and policy makers stay fully informed of Australia’s air pollution problem. The project proposes to address this need by developing methodology to detect trends in air pollution concentra ....Min/Max Autocorrelation Factors in Time Series Studies of the Adverse Health Effects of Ozone. The annual health costs associated with exposure to air pollution in Australia have been estimated at between $3 and 5.3 billion. Given these costs, it is vital to conduct research that ensures public health officials and policy makers stay fully informed of Australia’s air pollution problem. The project proposes to address this need by developing methodology to detect trends in air pollution concentrations and reduce measurement error in recorded air pollution concentrations. This will enable relevant authorities to produce more accurate estimates of air pollution health costs and implement more appropriate pollution regulations and health warnings.Read moreRead less
A likelihood-based approach to combined surveys inference. This project focuses on the development of statistical theory for efficient integration of information across multiple complex sample surveys. It will develop theory and methodology that will answer complex questions about relationships between important social, economic and health related variables that are presently measured in separate surveys.