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A note on the draft International Council for Harmonisation guidance on estimands and sensitivity analysis

机译:关于国际委员会统一指导委员会草案的说明和敏感性分析

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In the second half of 2014, the Steering Committee of the International Council for Harmonisation endorsed the formation of an expert working group to develop an addendum to the International Council for Harmonisation E9 guideline (Statistical Principles for Clinical Trials). The addendum was to focus on two clinical trial topics: estimands and sensitivity analysis. A draft of the addendum, referred to as E9/R1, was developed by the expert working group and made available for public comments across the International Council for Harmonisation regions in the second half of 2017. A structured framework for clinical trial design and analysis proposed in the draft addendum are briefly described, including four key inputs for developing objective-driven estimands and strategies for tackling one of the inputs ('intercurrent events'). The proposed framework aligns each clinical trial objective with the corresponding statistical target of estimation (estimand), trial design and data to be collected, main method of estimation/inference, and sensitivity analysis to pressure test key analytic assumption(s) in the main analysis. A case study from the diabetes therapeutic area illustrates how the framework can be implemented in practice. International Council for Harmonisation E9/R1 is expected to enable better planning, conduct, analysis, and interpretation of randomised clinical trials. This will facilitate improvements in new drug applications and strengthen understanding of decision making by regulatory authorities and advisory committees.
机译:2014年下半年,国际统一理事会指导委员会批准了一个专家工作组的形成,为国际委员会统一E9指南(临床试验的统计原则)制定了国际委员会的成本。附录是专注于两种临床试验主题:估计和敏感性分析。由专家工作组制定的成本草案,由E9 / R1制定,并在2017年下半年国际协调域公开评论。提出了临床试验设计和分析的结构化框架在简要描述的附录草案中,包括用于开发目标驱动的估计值的四个关键投入和解决其中一个投入的策略('常规事件')。所提出的框架将每个临床试验目标对准估计(估计),试验设计和数据的相应统计目标,估计/推理的主要方法,以及对主要分析中的压力测试关键分析假设的敏感性分析。糖尿病治疗区域的案例研究说明了如何在实践中实现框架。国际协调委员会E9 / R1预计将实现随机临床试验的更好的规划,进行,分析和解释。这将促进新药物应用的改进,并加强对监管机构和咨询委员会的决策的理解。

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