Suppr超能文献

一种简单的方法用于处理由于死亡而导致结局被截断时的主要层效应。

A simple method for principal strata effects when the outcome has been truncated due to death.

机构信息

Department of Environmental Medicine and Behavioral Science, Kinki University School of Medicine, 377-2 Ohno-higashi, Osakasayama, Osaka, Japan.

出版信息

Am J Epidemiol. 2011 Apr 1;173(7):745-51. doi: 10.1093/aje/kwq418. Epub 2011 Feb 25.

Abstract

In randomized trials with follow-up, outcomes such as quality of life may be undefined for individuals who die before the follow-up is complete. In such settings, restricting analysis to those who survive can give rise to biased outcome comparisons. An alternative approach is to consider the "principal strata effect" or "survivor average causal effect" (SACE), defined as the effect of treatment on the outcome among the subpopulation that would have survived under either treatment arm. The authors describe a very simple technique that can be used to assess the SACE. They give both a sensitivity analysis technique and conditions under which a crude comparison provides a conservative estimate of the SACE. The method is illustrated using data from the ARDSnet (Acute Respiratory Distress Syndrome Network) clinical trial comparing low-volume ventilation and traditional ventilation methods for individuals with acute respiratory distress syndrome.

摘要

在随访的随机试验中,对于在随访完成前死亡的个体,生活质量等结局可能无法定义。在这种情况下,将分析仅限于存活者可能会导致有偏的结局比较。另一种方法是考虑“主要层效果”或“存活者平均因果效应”(SACE),定义为治疗对两种治疗组中任何一组均存活的亚人群的结局的影响。作者描述了一种非常简单的技术,可用于评估 SACE。他们给出了一种敏感性分析技术和在何种条件下,粗略比较可提供 SACE 的保守估计。该方法使用来自 ARDSnet(急性呼吸窘迫综合征网络)临床试验的数据进行了说明,该试验比较了急性呼吸窘迫综合征患者的低容量通气和传统通气方法。

相似文献

3
The balanced survivor average causal effect.平衡幸存者平均因果效应。
Int J Biostat. 2013 May 7;9(2):291-306. doi: 10.1515/ijb-2012-0013.
5
Prone position for acute respiratory failure in adults.成人急性呼吸衰竭的俯卧位
Cochrane Database Syst Rev. 2015 Nov 13;2015(11):CD008095. doi: 10.1002/14651858.CD008095.pub2.

引用本文的文献

本文引用的文献

3
Mediation analysis with principal stratification.采用主分层法的中介分析。
Stat Med. 2009 Mar 30;28(7):1108-30. doi: 10.1002/sim.3533.
5
Causal Vaccine Effects on Binary Postinfection Outcomes.因果性疫苗对感染后二元结局的影响。
J Am Stat Assoc. 2006 Mar;101(473):51-64. doi: 10.1198/016214505000000970.
9
Causal inference for non-mortality outcomes in the presence of death.在存在死亡情况时对非死亡结局进行因果推断。
Biostatistics. 2007 Jul;8(3):526-45. doi: 10.1093/biostatistics/kxl027. Epub 2006 Sep 15.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验