Large-scale randomised evidence: the reliable detection or refutation of treatment effects through large, simple randomised trials and collaborative meta-analyses of trials using individual participant data

大规模随机证据：通过大型、简单的随机试验和使用个体参与者数据的试验协作荟萃分析来可靠地检测或反驳治疗效果

• 批准号: nhmrc : GNT1091948
• 负责人: Dr Christopher Wong
• 金额: $ 40.6万
• 依托单位国家: 澳大利亚
• 项目类别: Early Career Fellowships
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 无数据
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/large-scale-randomised-individual-participant/1345860
• 关键词: Large; scale; randomised; evidence; reliable

Randomised controlled trials are the most reliable scientific method of studying medical treatments. Well-designed trials are thus needed to confidently guide doctors, other health professionals and policy-makers, particularly for common conditions such as cardiovascular disease. This Fellowship will study how we can better prevent and treat cardiovascular disease through the design, conduct and analysis of such trials at the University of Oxford, a world-leader in randomised controlled trials.

随机对照试验是研究医学治疗的最可靠的科学方法。因此，需要精心设计的试验来自信地指导医生，其他卫生专业人员和政策制定者，特别是对于心血管疾病等常见疾病。该奖学金将研究我们如何通过设计，实施和分析牛津大学的此类试验来更好地预防和治疗心血管疾病，牛津大学是随机对照试验的世界领导者。