Implementing multiple imputation with sensitivity analysis in large-scale longitudinal studies

在大规模纵向研究中通过敏感性分析实施多重插补

• 批准号: nhmrc : 1102468
• 负责人: A/Pr Katherine Lee
• 金额: $ 32.5万
• 依托单位: Murdoch Childrens Research Institute
• 依托单位国家: 澳大利亚
• 项目类别: Project Grants
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/implementing-multiple-imputation-longitudinal-studies/662608
• 关键词: Implementing; multiple; imputation; sensitivity; analysis

Missing data arise in most research studies and if not handled appropriately can mean the study results are not correct. With researchers now conducting larger and longer studies the challenges posed by missing data are increasing. In this grant we study a powerful technique for handling missing data, which in its current form often cannot be applied effectively in large studies. By developing this approach we will improve the accuracy of results from large-scale epidemiological studies.

大多数研究中都会出现数据缺失，如果处理不当，可能意味着研究结果不正确。随着研究人员现在进行更大规模和更长时间的研究，数据缺失带来的挑战也在增加。在这项资助中，我们研究了一种处理缺失数据的强大技术，在目前的形式下，这种技术通常不能有效地应用于大型研究。通过发展这一方法，我们将提高大规模流行病学研究结果的准确性。