Cover Image

Hypothesis-driven mediation analysis for compositional data: an application to gut microbiome

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kartiosuo, Noora, Nevalainen, Jaakko, Raitakari, Olli, Pahkala, Katja, Auranen, Kari
Format:	Preprint
Published:	2023
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the distribution of isometric log-ratio transformations under extra-multinomial count data
by: Kartiosuo, Noora, et al.
Published: (2024)

DiPPER: A Bayesian approach to differential prevalence analysis with applications in microbiome studies
by: Pelto, Juho, et al.
Published: (2026)

Mediation analysis in longitudinal intervention studies with an ordinal treatment-dependent confounder
by: Valtanen, Mikko, et al.
Published: (2025)

Elementary methods provide more replicable results in microbial differential abundance analysis
by: Pelto, Juho, et al.
Published: (2024)

Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
by: Perkonoja, Katariina, et al.
Published: (2023)

Bayesian covariance regression for differential network analysis of zero-inflated microbiome data
by: Xu, Zichun, et al.
Published: (2026)

A tree-based model for addressing sparsity and taxa covariance in microbiome compositional count data
by: Wang, Zhuoqun, et al.
Published: (2021)

Bayesian high-dimensional biological pathway-guided mediation analysis with application to metabolomics
by: Zhang, Yuzi, et al.
Published: (2025)

Bayesian compositional regression with flexible microbiome feature aggregation and selection
by: Saha, Satabdi, et al.
Published: (2024)

Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs
by: Adamov, Anja, et al.
Published: (2025)

Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance
by: Fontaine, Simon, et al.
Published: (2026)

Pubertal Timing Associates With Cardiometabolic Markers During Puberty and in Young Adulthood
by: Saga Nummela, et al.
Published: (2026)

Handling multivariable missing data in causal mediation analysis estimating interventional effects
by: Dashti, S. Ghazaleh, et al.
Published: (2024)

Comparison of methods for mediation analysis with multiple correlated mediators
by: Appah, Mary, et al.
Published: (2024)

Bayesian integrative factor analysis methods, with application in nutrition and genomics data
by: Liang, Mavis, et al.
Published: (2025)

Multidimensional scaling informed by $F$-statistic: Visualizing grouped microbiome data with inference
by: Kim, Hyungseok, et al.
Published: (2023)

Causal mediation analysis with one or multiple mediators: a comparative study
by: Abécassis, Judith, et al.
Published: (2025)

Reliability analysis for data-driven noisy models using active learning
by: Pires, Anderson V., et al.
Published: (2024)

A Bayesian semi-parametric approach to causal mediation for longitudinal mediators and time-to-event outcomes with application to a cardiovascular disease cohort study
by: Bhandari, Saurabh, et al.
Published: (2024)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)

Practical challenges in mediation analysis: A guide for applied researchers
by: Schuler, Megan S., et al.
Published: (2024)

Mass spectrometry‐based proteomic applications in dental implants research
by: Tim Halstenbach, et al.
Published: (2024)

On the Testing of complete causal mediation and its applications
by: Tsai, Yichin, et al.
Published: (2025)

Data-driven time-frequency tessellation for signals with oscillatory amplitude envelopes and instantaneous frequency, with application to photoplethysmograhy
by: Laine, Jennifer, et al.
Published: (2026)

An open-source framework for data-driven trajectory extraction from AIS data -- the $α$-method
by: Paulig, Niklas, et al.
Published: (2024)

Efficient estimation of cumulative incidence curves via data fusion with surrogates: application to integrated analysis of vaccine trial and immunobridging data
by: Zhao, Pan, et al.
Published: (2026)

Determination of emissivity profiles using a Bayesian data-driven approach
by: Sgheri, Luca, et al.
Published: (2024)

Correcting for bias due to mismeasured exposure in mediation analysis with a survival outcome
by: Cheng, Chao, et al.
Published: (2023)

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)

Response of stream habitat and microbiomes to spruce budworm defoliation: New considerations for outbreak management
by: Madison L. McCaig, et al.
Published: (2024)

Rank-based transfer learning for high-dimensional survival data with application to sepsis data
by: Qiao, Nan, et al.
Published: (2025)

A comparison of mixed-models for the analysis of non-linear longitudinal data: application to late-life cognitive trajectories
by: Wagner, Maude, et al.
Published: (2024)

Gender disparities in rehospitalisations after coronary artery bypass grafting: evidence from a sparse functional causal mediation analysis of the MIMIC-IV data
by: Xu, Henan, et al.
Published: (2024)

TaxaPLN: a taxonomy-aware augmentation strategy for microbiome-trait classification including metadata
by: Chaussard, Alexandre, et al.
Published: (2025)

Bayesian analysis of diffusion-driven multi-type epidemic models with application to COVID-19
by: Bouranis, Lampros, et al.
Published: (2022)

Bias correction in treatment effect estimates following data-driven biomarker cutoff selection
by: Zhang, Chi, et al.
Published: (2025)

Tutorial on survival modeling with applications to omics data
by: Zhao, Zhi, et al.
Published: (2023)

Leveraging local species data, a global database, and an occupancy model to explore bee–plant interactions
by: Michelle J. Lee, et al.
Published: (2026)

Data-driven inverse uncertainty quantification: application to the Chemical Vapor Deposition Reactor Modeling
by: Loachamín, Geremy, et al.
Published: (2025)

Prediction intervals for overdispersed binomial endpoints and their application to toxicological historical control data
by: Menssen, Max, et al.
Published: (2024)