Use tidyverse functions to correctly meld and pool multiply imputed model output

Extend broom's tidy() and glance() to work with lists of multiply imputed regression models

Multiple Imputation with GAMLSS

Awesome papers on Missing Data

Analyses of Fear Generalization Task in SAM study

Code for Master's Thesis Data Science & Society

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 of the experiments ran in our GigaScience article: "Benchmarking missing-values approaches for predictive models on health databases".

Replication code for "Connecting Leaves to the Forest" academic project.

Multiple imputation with chained equation implemented from scratch. This is a low performance implementation meant for pedagogical purposes only.

Multiple Imputation in Causal Graph Discovery

R package for controlled multiple imputation of ordinal or binary responses with missing data in clinical study

A package for synthetic data generation for imputation using single and multiple imputation methods.

Source Code for Paper "Bayesian MI-LASSO for variable selection on multiply-imputed data" (Arxiv: https://arxiv.org/abs/2211.00114)

From missing mechanism of data to data imputation

Code and supplementary materials for the manuscript "Handling missing covariate data in clinical studies in haematology" (2023, Best Practice & Research Clinical Haematology)

psfmi: Predictor Selection Functions for Logistic and Cox regression models in multiply imputed datasets

R enviroment - fast imputations 🐉