Multivariate Imputation by Chained Equations
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Updated
Jun 12, 2024 - R
Multivariate Imputation by Chained Equations
psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets
Una herramienta para el uso y análisis de los datos de Conflicto armado en Colombia resultantes del proyecto conjunto JEP-CEV-HRDAG.
R enviroment - fast imputations 🐉
Some Additional Multiple Imputation Functions, Especially for 'mice'.
Extend broom's tidy() and glance() to work with lists of multiply imputed regression models
Multiple imputation or estimation of missing data with random forests
Multiple Imputation in Causal Graph Discovery
Code and supplementary materials for the manuscript "Handling missing covariate data in clinical studies in haematology" (2023, Best Practice & Research Clinical Haematology)
Code and supplementary materials for the manuscript "Multiple imputation for cause-specific Cox models: assessing methods for estimation and prediction" (2022, Statistical Methods in Medical Research)
Inject Missing Values Not-At-Random to Simulated Likert Data Sets
Code repository for the manuscript 'Multiple imputation of missing covariates when using the Fine–Gray model' (submitted)
Code and supplementary materials for the manuscript "Development and validation of a prediction model for failure of the transfemoral approach of endovascular treatment for large vessel occlusion acute ischemic stroke" (2023, Cerebrovascular Diseases))
Replication code for "Connecting Leaves to the Forest" academic project.
Analyses of Fear Generalization Task in SAM study
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