Meta-research: Using Research To Increase The Value Of Health And Medical Research
Funder
National Health and Medical Research Council
Funding Amount
$631,370.00
Summary
Improving the return on investment in health and medical research will produce more and faster discoveries that enhance the lives of all Australians. Many problems in the research process are well known and have been pervasive for decades. I will use the research process to improve the research process. I will improve Australia's health and medical research workforce and the quality of the research they produce, creating benefits in multiple fields that last long into the future.
Assessing and enhancing the quality of longitudinal survey data. Australia has begun investing heavily in the collection of population-wide longitudinal survey data. Most of that effort has focused first on collection and dissemination and second on analysis, with scant attention paid to the quality of data collected. This is unfortunate given that longitudinal surveys exhibit many problems (e.g., attrition, panel conditioning, and seam effects) that are not relevant in more ubiquitous cross-sec ....Assessing and enhancing the quality of longitudinal survey data. Australia has begun investing heavily in the collection of population-wide longitudinal survey data. Most of that effort has focused first on collection and dissemination and second on analysis, with scant attention paid to the quality of data collected. This is unfortunate given that longitudinal surveys exhibit many problems (e.g., attrition, panel conditioning, and seam effects) that are not relevant in more ubiquitous cross-section of surveys. Without adequate resources devoted to these methodological issues, the quality of substantive research will be questioned and interest from potential users decline. Maximizing the investment being made in longitudinal data thus requires a complementary investment in methodological research.Read moreRead less
The role of households, neighbourhoods and networks in social statistics. Many issues affect the social progress of the country. Social research can determine the factors affecting issues such as unemployment, poverty, educational attainment, crime victimization and poor health. Survey and other data are used extensively to examine these conditions and their association with attributes of people. This project will provide methods to better determine the impact of effects associated with the h ....The role of households, neighbourhoods and networks in social statistics. Many issues affect the social progress of the country. Social research can determine the factors affecting issues such as unemployment, poverty, educational attainment, crime victimization and poor health. Survey and other data are used extensively to examine these conditions and their association with attributes of people. This project will provide methods to better determine the impact of effects associated with the household structure and other groups and social networks. The improved ability to assess the impact of these factors will have economic and social benefits. These benefits will arise from improved analysis leading to better decisions and improvements in the design of research studies improving their cost efficiency.Read moreRead less
Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identi ....Statistical Methods for Discovering Ribonucleic acids (RNAs) contributing to human diseases and phenotypes. Identifying the causative genetic factors involved in quantitative phenotypes and diseases is a major goal of biology in the 21st century and beyond. A crucial step towards this goal is identifying and classifying the functional non-protein-coding Ribonucleic acids (RNAs) encoded in the human genome. This project will make major contributions to international efforts in this area by identifying RNA molecules that contribute to quantitative phenotypes including susceptibility to disease. As such, it will directly benefit fundamental science via the discovery and classification of new molecules. Indirectly, it will lead to breakthroughs in biology, and consequently to major medical and pharmaceutical advances in the diagnosis and treatment of genetic disease.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100425
Funder
Australian Research Council
Funding Amount
$409,364.00
Summary
Genetic and Molecular Consequences of Non-Random Mating in Humans. This project aims to develop and apply novel statistical methods to quantify the effects on a large number of complex traits of two forms of non-random mating in humans, that is inbreeding and assortative mating. The innovation in this proposal lies in integrating multi-level phenotypes with next-generation sequencing data collected in more than half a million study participants. Expected outcomes of this research include advance ....Genetic and Molecular Consequences of Non-Random Mating in Humans. This project aims to develop and apply novel statistical methods to quantify the effects on a large number of complex traits of two forms of non-random mating in humans, that is inbreeding and assortative mating. The innovation in this proposal lies in integrating multi-level phenotypes with next-generation sequencing data collected in more than half a million study participants. Expected outcomes of this research include advanced analytical methods to perform this integration and dissection of the biological consequences of non-random mating in humans at an unprecedented phenotypically detailed scale. The benefit of this project will be to identify new drivers of mate choice that can contribute to economic, health and social inequalities. Read moreRead less
Market segmentation methodology: attacking the 'Too Hard' basket. Businesses embrace market segmentation to identify and target clients. However, poor segmentation analysis leads to poor segment choice. This project will develop tools to improve segmentation analysis and will test the resulting tools in tourism, foster care and climate change mitigating behaviours, and produce usable, transferable recommendations.
Theory and applications of Bayesian and likelihood analyses for finite mixture, random effect and multinomial models. The expected outcomes of the project are: to establish the scientific
value of modern Bayesian methods for statistical inference in a wider
range of applications than previously available, to contribute to the greater unification of the current theories of statistical inference which are to some extent in conflict, and to provide a set of Bayesian analytic tools implemented in ....Theory and applications of Bayesian and likelihood analyses for finite mixture, random effect and multinomial models. The expected outcomes of the project are: to establish the scientific
value of modern Bayesian methods for statistical inference in a wider
range of applications than previously available, to contribute to the greater unification of the current theories of statistical inference which are to some extent in conflict, and to provide a set of Bayesian analytic tools implemented in widely available, free and open-source statistical software.
Read moreRead less
Genomic selection: a new frontier for higher rates of genetic gain in wheat. The historical rates of genetic gain in wheat production are insufficient to meet the world's future needs for wheat-based food. Genomic selection (GS) is the most likely candidate tool that is capable of delivering the required level of genetic gain. This project will develop data-sets and statistical methods to implement GS in wheat.
Enhancing social research in Australia using dual-frame telephone surveys. The growing surge in mobile phones and mobile-phone only households has had a significant impact on the representativeness of social surveys and accuracy of social outcome measures. This project will develop methods for generating sampling lists of both types of telephone numbers to improve population coverage and accuracy of outcome measures.
New models and analyses for social networks and criminological careers. This project will develop new models and analyses for social networks and criminological careers. This will provide a fast analysis for very large and complex social networks, and for the evolution of criminal careers over time. A particular strength will be the ability to detect outlying participants from the main structure.