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首页> 外文期刊>American Journal of Epidemiology >Sensitivity Analysis Using Elicited Expert Information for Inference With Coarsened Data: Illustration of Censored Discrete Event Times in the AIDS Link to Intravenous Experience (ALIVE) Study
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Sensitivity Analysis Using Elicited Expert Information for Inference With Coarsened Data: Illustration of Censored Discrete Event Times in the AIDS Link to Intravenous Experience (ALIVE) Study

机译:使用精挑细选的专家信息进行粗数据推断的灵敏度分析:艾滋病与静脉经验(ALIVE)研究的关联被删减的离散事件时间说明

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In this paper, the authors use the rubric of “coarsened data,” of which missing and censored data are special cases, to motivate the elicitation and use of expert information for performing sensitivity analyses of censored event-time data. Elicited information is important because observed data are insufficient to estimate how study participants with coarsened data compare with participants with uncoarsened data, and misspecifying this comparison may produce biased analysis results. In the presence of coarsening, performing a sensitivity analysis over a range of plausible assumptions is the best one can do. Here the authors illustrate an approach for eliciting expert information for use in sensitivity analyses to compare cumulative incidence functions of censored nonmortality outcomes. An example of such data is the AIDS Link to Intravenous Experience (ALIVE) Study, where the authors aim to estimate and compare cumulative incidence functions for human immunodeficiency virus between risk factor categories. The interval and right-censoring and censoring due to death found in the ALIVE data (1988–1998) are thought to be informative; thus, a sensitivity analysis is performed using information elicited from 2 ALIVE scientists and an expert in acquired immunodeficiency syndrome epidemiology about the relation between seroconversion and censoring.
机译:在本文中,作者使用“粗略数据”的标题(其中缺失和被检查的数据是特例)来激发和利用专家信息对被检查的事件时间数据进行敏感性分析。选出的信息很重要,因为观察到的数据不足以估计具有粗化数据的研究参与者与未粗化数据的参与者的比较,并且错误指定此比较可能会产生有偏差的分析结果。在存在粗化的情况下,最好的方法是对一系列合理的假设进行敏感性分析。在这里,作者说明了一种方法,可用于获取用于敏感性分析的专家信息,以比较审查的非死亡结果的累积发生率函数。这样的数据的一个例子是艾滋病与静脉经验的联系(ALIVE)研究,作者的目的是估计和比较危险因素类别之间人类免疫缺陷病毒的累积发生率函数。在ALIVE数据(1988-1998年)中发现的间隔以及因死亡而进行的右删失和删失被认为是有益的。因此,使用从2位ALIVE科学家和获得性免疫缺陷综合症流行病学专家那里获得的有关血清转化与检查之间关系的信息进行敏感性分析。

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