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.

该项目有两个主要好处：（i）开发用于时空分析和数据合成的前沿统计方法，这在广泛的学科中是必不可少的； (ii) 应用这些方法来提高对昆士兰州接受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提高筛查率并降低癌症发病率和死亡率，从而减少该领域的卫生支出，从而带来直接的健康和经济效益。重要的是，该项目是将博士生培养成为经验丰富的跨学科研究人员的绝佳培训机会。