Extended Joint Models for Longitudinal and Survival Data
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Updated
Jul 15, 2024 - R
Extended Joint Models for Longitudinal and Survival Data
A 3D Attention U-Net model is developed, aimed at segmenting and tracking Multiple Sclerosis lesions in MRI images.
Early Life Microbiome Toolbox
LAVA: Longitudinal Analysis of Viral Alleles
Supplementary materials for the manuscript "Clustering of longitudinal data: A tutorial on a variety of approaches" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel (2021)
Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms
Datasets and artifacts for the paper "A Longitudinal Analysis of Bloated Java Dependencies"
MARIO Challenge MICCAI 2024
Supplementary materials for the manuscript "A comparison of methods for clustering longitudinal data with slowly changing trends" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel, published in Communications in Statistics - Simulation and Computation (2021).
`mbtransfer` is an R package for modeling microbiome dynamics. It provides functions for fitting transfer function models, simulating counterfactual trajectories, and selecting significantly perturbed taxa using mirror statistics.
MetaboDynamics: a framework of probabilistic models to analyze longitudinal metabolomics data
Early Growth Genetics Longitudinal Analysis
Matching Methods for Time-Varying Observational Studies, in R
Scripts related to "Associations between attention-deficit hyperactivity disorder (ADHD) symptom remission and white matter microstructure: A longitudinal analysis"
Positivity violations in marginal structural survival models with time-dependent confounding: a simulation study on IPTW-estimator performance.
List of software packages for repeated measures analysis in -omics data
The Affective Dynamics of Everyday Digital Life: Opening Computational Possibility
Comprehensive analysis of differential gene expression using Bayesian statistics and advanced statistical modeling techniques. The project includes scripts, data, figures, and analysis results.
Supplementary materials for the manuscript "Latent-class trajectory modeling with a heterogeneous mean-variance relation" by N. G. P. Den Teuling, F. Ungolo, S.C. Pauws, and E.R. van den Heuvel
Supplementary materials for the manuscript "A comparison of methods for clustering longitudinal data with slowly changing trends" by N. G. P. Den Teuling, S.C. Pauws, and E.R. van den Heuvel, published in Communications in Statistics - Simulation and Computation (2021).
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