A case study and proposal for publishing directed acyclic graphs: The effectiveness of the quadrivalent human papillomavirus vaccine in perinatally HIV Infected girls.
A case study and proposal for publishing directed acyclic graphs: The effectiveness of the quadrivalent human papillomavirus vaccine in perinatally HIV Infected girls.
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DOI：
10.1016/j.jclinepi.2021.12.028
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发表时间：
2022-04
影响因子：
7.2
通讯作者：
Murray EJ
中科院分区：
文献类型：
--
作者：
Barnard-Mayers R;Kouser H;Cohen JA;Tassiopoulos K;Caniglia EC;Moscicki AB;Campos NG;Caunca MR;Seage GRS;Murray EJ
制定因果图是病原学研究计划的重要步骤，可用于突出数据缺陷和不可弥补的偏差和混淆。作为一个案例研究，我们考虑了最近的研究结果，这些发现表明，与未感染艾滋病毒的女孩相比，人类乳头瘤病毒（HPV）疫苗对感染艾滋病毒的女孩中HPV相关疾病的效果较差。为了了解艾滋病毒感染状况与HPV疫苗有效性之间的关系，在设计一项研究调查HPV疫苗对感染艾滋病毒的女孩的影响之前，重要的是概述因果机制的关键假设。我们提出了一个因果图来描述我们的假设，并提出了探索这种关系的方法。我们希望在数据分析之前获得对我们假设的反馈，并举例说明设计因果图以告知病因学研究的过程。我们在论文中提出的方法可能对其他研究人员有用，他们有兴趣在进行数据收集和/或分析之前使用因果图来描述和评估他们自己的研究中的假设。
Developing a causal graph is an important step in etiologic research planning and can be used to highlight data flaws and irreparable bias and confounding. As a case study, we consider recent findings that suggest human papillomavirus (HPV) vaccine is less effective against HPV-associated disease among girls living with HIV compared to girls without HIV. To understand the relationship between HIV status and HPV vaccine effectiveness, it is important to outline the key assumptions of the causal mechanisms before designing a study to investigate the effect of the HPV vaccine in girls living with HIV infection. We present a causal graph to describe our assumptions and proposed approach to explore this relationship. We hope to obtain feedback on our assumptions prior to data analysis and exemplify the process for designing causal graphs to inform an etiologic study. The approach we lay out in this paper may be useful for other researchers who have an interest in using causal graphs to describe and assess assumptions in their own research prior to undergoing data collection and/or analysis.
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影响因子：
6.4
作者：
Giuliano, Anna R.;Lazcano-Ponce, Eduardo;Barr, Eliav
通讯作者：
Barr, Eliav
影响因子：
11.8
作者：
Moscicki, Anna-Barbara;Karalius, Brad;Cuadra, Anai
通讯作者：
Cuadra, Anai
影响因子：
7.7
作者：
Fisher H;Trotter CL;Audrey S;MacDonald-Wallis K;Hickman M
通讯作者：
Hickman M
DOI：
10.1128/cdli.12.8.959-969.2005
发表时间：
2005-08-01
期刊：
CLINICAL AND DIAGNOSTIC LABORATORY IMMUNOLOGY
影响因子：
--
作者：
Dias, D;Van Doren, J;Esser, MT
通讯作者：
Esser, MT
影响因子：
6.4
作者：
Kojic, Erna Milunka;Conley, Lois;Patel, Pragna
通讯作者：
Patel, Pragna