Cover Image

Locally sparse varying coefficient mixed model with application to longitudinal microbiome differential abundance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fontaine, Simon, D'Silva, Nisha J., de Medeiros, Marcell Costa, Chen, Grace Y., Zhu, Ji, Li, Gen
Format:	Preprint
Published:	2026
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Skew-elliptical copula based mixed models for non-Gaussian longitudinal data with application to an HIV-AIDS study
by: Chattopadhyay, Subhajit
Published: (2024)

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)

Bayesian network-guided sparse regression with flexible varying effects
by: Ren, Yangfan, et al.
Published: (2024)

Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)

A varying-coefficient model for characterizing duration-driven heterogeneity in flood-related health impacts
by: Aggarwal, Sarika, et al.
Published: (2026)

Penalized generalized linear mixed models for longitudinal outcomes in genetic association studies
by: St-Pierre, Julien, et al.
Published: (2025)

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

Multivariate longitudinal modeling of cross-sectional and lagged associations between a continuous time-varying endogenous covariate and a non-Gaussian outcome
by: Degan, Chiara, et al.
Published: (2025)

The Whittle likelihood for mixed models with application to groundwater level time series
by: Pypkowski, Jakub J., et al.
Published: (2025)

Learning from limited temporal data: Dynamically sparse historical functional linear models with applications to Earth science
by: Janssen, Joseph, et al.
Published: (2023)

A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)

Quantile mixed graphical models with an application to mass public shootings in the United States
by: Merlo, Luca, et al.
Published: (2023)

Correcting for confounding in longitudinal experiments: positioning non-linear mixed effects modeling as implementation of standardization using latent conditional exchangeability
by: Bartels, Christian, et al.
Published: (2024)

A concordance coefficient for lattice data: An application to poverty indices in Chile
by: Vallejos, Ronny, et al.
Published: (2025)

Quantile regression for longitudinal functional data with application to feed intake of lactating sows
by: Battagliola, Maria Laura, et al.
Published: (2023)

Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators
by: Wang, Xinming, et al.
Published: (2024)

Flexible model for varying levels of zeros and outliers in count data
by: Ahmad, Touqeer, et al.
Published: (2025)

Factor copula models for non-Gaussian longitudinal data
by: Chattopadhyay, Subhajit
Published: (2024)

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

Studying continuous, time-varying, and/or complex exposures using longitudinal modified treatment policies
by: Hoffman, Katherine L., et al.
Published: (2023)

Generalized network autoregressive modelling of longitudinal networks with application to presidential elections in the USA
by: Nason, Guy, et al.
Published: (2025)

Finite mixture copulas for modeling dependence in longitudinal count data
by: Chattopadhyay, Subhajit
Published: (2024)

Futility analyses for the MCP-Mod methodology based on longitudinal models
by: Bornkamp, Björn, et al.
Published: (2024)

A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
by: Liu, Yusha, et al.
Published: (2022)

Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
by: Tian, Haodong, et al.
Published: (2024)

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

Asymptotics of numerical integration for two-level mixed models
by: Stringer, Alex, et al.
Published: (2022)

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
by: Sidrow, Evan, et al.
Published: (2024)

Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)

Implicit score-driven filters for time-varying parameter models
by: Lange, Rutger-Jan, et al.
Published: (2025)

Strategy to control biases in prior event rate ratio method, with application to palliative care in patients with advanced cancer
by: Ma, Xiangmei, et al.
Published: (2024)

Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
by: Alt, Ethan M., et al.
Published: (2024)

A mixed effects cosinor modelling framework for circadian gene expression
by: Gorczyca, Michael T.
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)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, 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)

Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
by: Bian, Yuan, et al.
Published: (2026)

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