ArticleStatistics in medicine2021
Mediation effect selection in high-dimensional and compositional microbiome data.
Article in Statistics in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 33 citations in OpenAlex.
- Microbiome mediation analysis: methods, assumptions, and practical considerations.Frontiers in cellular and infection microbiology · 2026Review
- Article
- HILAMA: High-dimensional multi-omics mediation analysis with latent confounding.BMC medical research methodology · 2025Article
- High-dimensional mediation analysis for longitudinal mediators and survival outcomes.Briefings in bioinformatics · 2025Article
- Instrumental variable estimation for compositional treatments.Scientific reports · 2025Article
- CRAmed: a conditional randomization test for high-dimensional mediation analysis in sparse microbiome data.Bioinformatics (Oxford, England) · 2025Article
- A unified web cloud computing platform MiMedSurv for microbiome causal mediation analysis with survival responses.Scientific reports · 2024Article
- A Bayesian nonparametric approach for multiple mediators with applications in mental health studies.Biostatistics (Oxford, England) · 2024Article
- Analysis of Microbiome Data.Annual review of statistics and its application · 2024Article
- High-dimensional quantile mediation analysis with application to a birth cohort study of mother-newborn pairs.Bioinformatics (Oxford, England) · 2024Article
- A microbial causal mediation analytic tool for health disparity and applications in body mass index.Microbiome · 2023Article
- PhyloMed: a phylogeny-based test of mediation effect in microbiome.Genome biology · 2023Article
- A microbial causal mediation analytic tool for health disparity and applications in body mass index.Research square · 2023Article
- Comprehensive microbiome causal mediation analysis using MiMed on user-friendly web interfaces.Biology methods & protocols · 2023Article
- HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data.BMC bioinformatics · 2022Article
- Mediation analysis for survival data with high-dimensional mediators.Bioinformatics (Oxford, England) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
The microbiome plays an important role in human health by mediating the path from environmental exposures to health outcomes. The relative abundances of the high-dimensional microbiome data have an unit-sum restriction, rendering standard statistical methods in the Euclidean space invalid. To address this problem, we use the isometric log-ratio transformations of the relative abundances as the mediator variables. To select significant mediators, we consider a closed testing-based selection procedure with desirable confidence. Simulations are provided to verify the effectiveness of our method. As an illustrative example, we apply the proposed method to study the mediation effects of murine gut microbiome between subtherapeutic antibiotic treatment and body weight gain, and identify Coprobacillus and Adlercreutzia as two significant mediators.
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What OpenQuestion holds
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.