Extended Joint Models for Longitudinal and Survival Data
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Updated
Feb 26, 2025 - R
Extended Joint Models for Longitudinal and Survival Data
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)
MetaboDynamics: a framework of probabilistic models to analyze longitudinal metabolomics data
`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.
Early Growth Genetics Longitudinal Analysis.
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).
Matching Methods for Time-Varying Observational Studies, in R
Positivity violations in marginal structural survival models with time-dependent confounding: a simulation study on IPTW-estimator performance.
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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