Article

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 Dataset

2025-05-28

Abstract excerpt

<h4>Motivation</h4> Large-scale prospective cohort studies collect longitudinal biospecimens alongside time-to-event outcomes to investigate biomarker dynamics in relation to disease risk. The nested case-control (NCC) design provides a cost-effective alternative to full cohort biomarker studies while preserving statistical efficiency. Despite advances in joint modeling for longitudinal and time-to-event outcomes...

Topics

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

Identifiers and source

Literature Corpus work: b2211e9b-f85e-5478-a983-8eed7d1962d8
DOI: 10.1101/2025.05.23.655653

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

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 DatasetDOI 10.1101/2025.05.23.655653Read

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

Nested Case-Control Studies With Multiple Measurements: Estimating Marginal RelationshipsSemantic proximity Read

Calculating epidemiological outcomes from simulated longitudinal dataSemantic proximity Read

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

Goodness-of-fit two-phase sampling designs for time-to-event outcomes: a simulation study based on New York University Women’s Health Study for breast cancerSemantic proximity Read

A general framework for studying genetic effects and gene-environment interactions with missing data.Semantic proximity Read

DiNetxify: a Python package for three-dimensional disease network analysis based on electronic health record dataSemantic proximity Read

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

Umpire 2.0: Simulating realistic, mixed-type, clinical data for machine learningSemantic proximity Read

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

A general kernel machine comparative analysis framework for randomized block designsSemantic proximity Read

Weighting estimation in the cause-specific Cox regression with partially missing causes of failure.Semantic proximity Read