Post-selection inference for high-dimensional mediation analysis with survival outcomes.

IF 1 4区 数学 Q3 STATISTICS & PROBABILITY
Scandinavian Journal of Statistics Pub Date : 2025-06-01 Epub Date: 2025-02-09 DOI:10.1111/sjos.12770
Tzu-Jung Huang, Zhonghua Liu, Ian W McKeague
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引用次数: 0

Abstract

It is of substantial scientific interest to detect mediators that lie in the causal pathway from an exposure to a survival outcome. However, with high-dimensional mediators, as often encountered in modern genomic data settings, there is a lack of powerful methods that can provide valid post-selection inference for the identified marginal mediation effect. To resolve this challenge, we develop a post-selection inference procedure for the maximally selected natural indirect effect using a semiparametric efficient influence function approach. To this end, we establish the asymptotic normality of a stabilized one-step estimator that takes the selection of the mediator into account. Simulation studies show that our proposed method has good empirical performance. We further apply our proposed approach to a lung cancer dataset and find multiple DNA methylation CpG sites that might mediate the effect of cigarette smoking on lung cancer survival.

生存结果的高维中介分析的选择后推断。
检测从暴露到生存结果的因果通路中的介质具有重要的科学意义。然而,在现代基因组数据设置中经常遇到的高维介质中,缺乏强有力的方法可以为确定的边际中介效应提供有效的选择后推断。为了解决这一挑战,我们使用半参数有效影响函数方法开发了最大选择自然间接效应的选择后推理程序。为此,我们建立了考虑中介选择的稳定一步估计量的渐近正态性。仿真研究表明,该方法具有良好的经验性能。我们进一步将我们提出的方法应用于肺癌数据集,发现可能介导吸烟对肺癌生存影响的多个DNA甲基化CpG位点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scandinavian Journal of Statistics
Scandinavian Journal of Statistics 数学-统计学与概率论
CiteScore
1.80
自引率
0.00%
发文量
61
审稿时长
6-12 weeks
期刊介绍: The Scandinavian Journal of Statistics is internationally recognised as one of the leading statistical journals in the world. It was founded in 1974 by four Scandinavian statistical societies. Today more than eighty per cent of the manuscripts are submitted from outside Scandinavia. It is an international journal devoted to reporting significant and innovative original contributions to statistical methodology, both theory and applications. The journal specializes in statistical modelling showing particular appreciation of the underlying substantive research problems. The emergence of specialized methods for analysing longitudinal and spatial data is just one example of an area of important methodological development in which the Scandinavian Journal of Statistics has a particular niche.
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