---
title: "Online resources"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteIndexEntry{Online resources}
  %\VignetteEncoding{UTF-8}
---

Selected online resources related to the `mice` package. There is also a more elaborate [overview](http://stefvanbuuren.github.io/mice/).

## Course materials

1. [Handling Missing Data in `R` with `mice`](https://stefvanbuuren.github.io/Winnipeg/)
2. [Statistical Methods for combined data sets](https://stefvanbuuren.github.io/RECAPworkshop/)

## Vignettes

1. [Ad hoc methods and the MICE algorithm](https://gerkovink.github.io/miceVignettes/Ad_hoc_and_mice/Ad_hoc_methods.html)
2. [Convergence and pooling](https://gerkovink.github.io/miceVignettes/Convergence_pooling/Convergence_and_pooling.html)
3. [Inspecting how the observed data and missingness are related](https://gerkovink.github.io/miceVignettes/Missingness_inspection/Missingness_inspection.html)
4. [Passive imputation and post-processing](https://gerkovink.github.io/miceVignettes/Passive_Post_processing/Passive_imputation_post_processing.html)
5. [Imputing multilevel data](https://gerkovink.github.io/miceVignettes/Multi_level/Multi_level_data.html)
6. [Sensitivity analysis with `mice`](https://gerkovink.github.io/miceVignettes/Sensitivity_analysis/Sensitivity_analysis.html)
7. [Generate missing values with `ampute`](https://stefvanbuuren.github.io/mice/ampute.html)

## Code from publications

1. [Flexible Imputation of Missing Data](http://stefvanbuuren.github.io/mice/FIMD.html)
2. [mice: Multivariate Imputation by Chained Equations in R](http://stefvanbuuren.github.io/mice/JSS.html)

## Source code 

1. [mice GitHUB repository](https://github.com/stefvanbuuren/mice)

