Inference for cumulative incidence functions with informatively coarsened discrete event-time data.

Inference for cumulative incidence functions with informatively coarsened discrete event-time data.
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使用信息粗化的离散事件时间数据推断累积发生率函数。

DOI:
10.1002/sim.3397
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发表时间:
2008
影响因子:
2
通讯作者:
Galai,Noya
Galai,Noya
中科院分区:
医学3区
文献类型:
--
作者:
Shardell,Michelle;Scharfstein,DanielO;Vlahov,David;Galai,Noya

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我们考虑了在存在信息粗化和竞争死亡风险的情况下比较非死亡事件的累积关联函数的问题。我们扩展了基于频率的假设检验,提出了一种新的贝叶斯方法,该方法在等累积关联函数的零假设下,将后验参数变换与其期望分布进行比较。这两种方法都使用通过扩展先前发表的估计程序来获得的估计,以适应死亡的审查。数据结构和分析目标以艾滋病与静脉注射经验的联系(ALIVE)研究为例,研究人员感兴趣的是按危险行为类别比较人类免疫缺陷病毒血清转换的发生率。在活体中以间隔和正确审查和死亡审查的形式进行粗化被认为是有信息的;因此,我们通过将关于血清转换和审查之间的关系的引出的专家信息纳入到模型中来执行敏感性分析。版权所有©2008 John Wiley&Sons,Ltd.
We consider the problem of comparing cumulative incidence functions of non‐mortality events in the presence of informative coarsening and the competing risk of death. We extend frequentist‐based hypothesis tests previously developed for non‐informative coarsening and propose a novel Bayesian method based on comparing a posterior parameter transformation with its expected distribution under the null hypothesis of equal cumulative incidence functions. Both methods use estimates derived by extending previously published estimation procedures to accommodate censoring by death. The data structure and analysis goal are exemplified by the AIDS Link to the Intravenous Experience (ALIVE) study, where researchers are interested in comparing incidence of human immunodeficiency virus seroconversion by risk behavior categories. Coarsening in the forms of interval and right censoring and censoring by death in ALIVE is thought to be informative; thus, we perform a sensitivity analysis by incorporating elicited expert information about the relationship between seroconversion and censoring into the model. Copyright © 2008 John Wiley & Sons, Ltd.
DOI: 10.1177/1740774507077849
发表时间: 2007-01-01
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