Extension of Causal Inference - FIRCA

因果推理的扩展 - FIRCA

• 批准号: 7329173
• 负责人: XIAO-HUA A. ZHOU
• 金额: $ 3.94万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-12-01 至 2009-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7329173
• 关键词: Address; Aftercare; Area; Cessation of life; China; Clinical; Clinical Trials; Collaborations; Condition; Data; Disease regression; Doctor of Philosophy; Event; Failure; Grant; Health; Literature; Masks; Measurement; Medical; Methodology; Methods; Modeling; Observational Study; Outcome; Participant; Patients; Pharmaceutical Preparations; Process; Quality of life; Quality-Adjusted Life Years; ROC Curve; Randomized; Randomized Clinical Trials; Research; Research Design; Research Personnel; Sampling; Survivors; United States National Institutes of Health; Universities; Upper arm; base; computer program; design; indexing; interest; killings; parent grant; response; ward

This research will be done primarily in Beijing China at Peking University in collaboration with Junni Zhang, Ph.D. as an extension of NIH grant # R01 HL62567. In the parent grant, we propose to develop a general statistical methodology for causal treatment analysis of the randomized encouragement design studies or randomized clinical trials with non-compliance. One additional issue in clinical trials with non-compliance we have not considered in the parent grant is 'truncation by death". Traditional approaches addressing this issue ignore the fact that the outcome after the truncation is neither "censored" nor "missing", but should be treated as being defined on an extended sample space. In this extension of the parent grant, we will discuss a newformulation for tackling this issue, where we call the outcome "truncated by death" because there is no hidden value of the outcome variable masked by the truncating event. We will further extend the framework to observational studies with possibly missing- data.

这项研究将主要在北京北京大学与北京大学合作。 博士作为NIH授予＃R01 HL62567的扩展。 在父母赠款中，我们建议开发一种一般的统计方法，以进行因果治疗分析 随机的鼓励设计研究或不符合规定的随机临床试验。一 在不合规的临床试验中，我们尚未在父母赠款中考虑的其他问题是 “死亡截断”。解决这个问题的传统方法忽略了以下事实： 截断既不是“审查”也不是“缺失”，而应被视为在扩展样本上定义 空间。在父母赠款的延长中，我们将讨论解决此问题的新提示， 我们称结果为“被死亡截断”，因为结果变量没有隐藏的价值 通过截断事件。我们将进一步将框架扩展到观察性研究，可能缺失 - 数据。