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

用于了解乳腺癌筛查女性结果并改善决策的贝叶斯统计模型

• 批准号: LP100100570
• 负责人: Prof Kerrie Mengersen
• 金额: $ 5.57万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-06-09 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP100100570
• 关键词: Bayesian; statistical; models; understanding; outcomes

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.

该项目有两个关键的好处：（i）开发用于时空分析和数据合成的边界统计方法，在广泛的学科中必须进行； （ii）这些方法的应用用于改善昆士兰州筛查的女性乳腺癌结果的了解。 该项目的结果将通过有针对性的政策来导致直接的健康和财务利益，以增加筛查的吸收并降低癌症的发病率和死亡率，从而在该领域的健康支出。重要的是，该项目代表了一个出色的培训机会，可以将博士学位候选人发展成经验丰富的跨学科研究人员。