Survival mixture modelling with random effects in public health

公共卫生中具有随机效应的生存混合模型

• 批准号: DP0559204
• 负责人: Prof Andy Lee
• 金额: $ 13.58万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2005
• 资助国家: 澳大利亚
• 起止时间: 2005-04-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0559204
• 关键词: Survival; mixture; modelling; random; effects

This interdisciplinary research aims to develop innovative methods and deliver effective tools for analysing non-standard survival data. Significance of the work lies in its novelty and the breadth of its practical applications. Evaluation of health outcomes has important implications in cancer prevention and control, hospital strategic planning, and post-stroke care management. The unique opportunity to examine long-term predictors of morbidity and mortality in a well-documented Aboriginal population will enhance the understanding of existing inequities in Aboriginal health. Demographic and lifestyle information related to the outcomes is pertinent to the development of policy and health promotion appropriate to Aboriginal communities.

这项跨学科研究旨在开发创新的方法并提供有效的工具来分析非标准的生存数据。这项工作的意义在于其新颖性及其实际应用的广度。对健康结果的评估对预防癌症和控制，医院战略规划和势头护理管理具有重要意义。在有据可查的原住民中检查长期预测发病和死亡率的独特机会将增强对土著健康现有不平等现象的理解。与结果有关的人口和生活方式信息与适合原住民社区的政策和健康促进有关。