Article

Joint modeling of zero-inflated longitudinal proportions and time-to-event data with application to a gut microbiome study

2020-12-11

Abstract excerpt

<h4>SUMMARY</h4> Recent studies have suggested that the temporal dynamics of the human microbiome may have associations with human health and disease. An increasing number of longitudinal microbiome studies, which record time to disease onset, aim to identify candidate microbes as biomarkers for prognosis. Owing to the ultra-skewness and sparsity of microbiome proportion (relative abundance) data, directly applyi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 568fa290-a9f2-5c8e-99a8-0769c0b16230
DOI: 10.1101/2020.12.10.419945

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Joint modeling of zero-inflated longitudinal proportions and time-to-event data with application to a gut microbiome studyDOI 10.1101/2020.12.10.419945Read

Longitudinal Microbiome-based Interpretable Machine Learning for Identification of Time-Varying Biomarkers in Early Prediction of Disease OutcomesSemantic proximity Read

Generalized Estimating Equation Modeling on Correlated Microbiome Sequencing Data with Longitudinal MeasuresSemantic proximity Read

CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero CellsSemantic proximity Read

Zero-inflated Bayesian factor analysis model with skew-normal priors for modeling microbiome dataSemantic proximity Read

Robust Phylogenetic Tree-based Microbiome Association Test using Repeatedly Measured Data for Composition BiasSemantic proximity Read

Microbial trend analysis for common dynamic trend, group comparison and classification in longitudinal microbiome studySemantic proximity Read

Joint Modeling of Longitudinal Biomarker and Survival Outcomes with the Presence of Competing Risk in Nested Case-Control Studies with Application to the TEDDY Microbiome DatasetSemantic proximity Read

mbDriver: identifying driver microbes in microbial communities based on time-series microbiome dataSemantic proximity Read

A robust and transformation-free joint model with matching and regularization for metagenomic trajectory and disease onsetSemantic proximity Read

Correlating High-dimensional longitudinal microbial features with time-varying outcomes with FLORALSemantic proximity Read

Detecting Sparse Microbial Association Signals Adaptively From Longitudinal Microbiome Data Based on Generalized Estimating EquationsSemantic proximity Read

Association of Body Index with Fecal Microbiome in Children Cohorts with Ethnic-Geographic Factor Interaction: Accurately Using a Bayesian Zero-inflated Negative Binomial Regression ModelSemantic proximity Read