ArticleBiostatistics (Oxford, England)2025
Causal functional mediation analysis with an application to functional magnetic resonance imaging data.
Article in Biostatistics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- A marginal structural model for normal tissue complication probability.Biostatistics (Oxford, England) · 2025Article
- Mediation analysis with graph mediator.Biostatistics (Oxford, England) · 2025Article
- Longitudinal analysis of the ABCD® study.Developmental cognitive neuroscience · 2025Review
- MULTIVARIATE DYNAMIC MEDIATION ANALYSIS UNDER A REINFORCEMENT LEARNING FRAMEWORK.Annals of statistics · 2025Article
- Learning causal effect of physical activity distribution: an application of functional treatment effect estimation with unmeasured confounding.Journal of applied statistics · 2025Article
- A Bayesian nonparametric approach for causal mediation with a post-treatment confounder.Biometrics · 2024Article
- A Bayesian nonparametric approach for multiple mediators with applications in mental health studies.Biostatistics (Oxford, England) · 2024Article
- A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior.Journal of agricultural, biological, and environmental statistics · 2023Article
- Estimation and inference for the mediation effect in a time-varying mediation model.BMC medical research methodology · 2022Article
- CAUSAL MEDIATION ANALYSIS FOR SPARSE AND IRREGULAR LONGITUDINAL DATA.The annals of applied statistics · 2021Article
- A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention.Multivariate behavioral researchArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
A primary goal of task-based functional magnetic resonance imaging (fMRI) studies is to quantify the effective connectivity between brain regions when stimuli are presented. Assessing the dynamics of effective connectivity has attracted increasing attention. Causal mediation analysis serves as a widely implemented tool aiming to delineate the mechanism between task stimuli and brain activations. However, the case, where the treatment, mediator, and outcome are continuous functions, has not been studied. Causal mediation analysis for functional data is considered. Semiparametric functional linear structural equation models are introduced and causal assumptions are discussed. The proposed models allow for the estimation of individual effect curves. The models are applied to a task-based fMRI study, providing a new perspective of studying dynamic brain connectivity. The R package cfma for implementation is available on CRAN.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.