Bayesian statistical models for understanding outcomes and improving decision-making for women screened for breast cancer

该项目有两个主要好处：（一）发展时空分析和数据综合的前沿统计方法，这在广泛的学科中是必不可少的;（二）应用这些方法，提高对在昆士兰州接受筛查的妇女乳腺癌结果的认识。 项目成果将通过有针对性的政策带来直接的健康和财政利益，以增加筛查的接受率，降低癌症发病率和死亡率，从而降低这一领域的卫生支出。重要的是，该项目代表了一个很好的培训机会，将博士候选人培养成经验丰富的跨学科研究人员。

This project has two key benefits: (i) the development of frontier statistical methods for spatio-temporal analysis and data synthesis, which are imperative in a wide range of disciplines; and (ii) the application of these methods for improved understanding of breast cancer outcomes for women screened in Queensland. The project results will lead to direct health and financial benefits through targeted policies for increasing screening uptake and reducing cancer morbidity and mortality and therefore health spending in this area. Importantly, the project represents an excellent training opportunity to develop a PhD candidate into an experienced interdisciplinary researcher.