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---
title: "Missing Data in R"
subtitle: "Utrecht University Winter School"
output:
flexdashboard::flex_dashboard:
orientation: columns
vertical_layout: scroll
---
# Missing Data Basics
## Column 1
### Lecture Slides
- [Missing Data Mechanisms](lectures/1_basics/mechanisms.pdf)
- [Simple Missing Data Treatments](lectures/1_basics/treatments.pdf)
### R Demonstration
- [Demo Script 1: Missing Data Descriptives](demos/1_basics/descriptives.R)
- [Suggested Solutions: Missing Data Descriptives](demos/1_basics/descriptives_solutions.R)
### R Lab
- [Lab 1: Missing Data Basics](labs/1_basics/basics.html)
- [Lab 1 Solutions](labs/1_basics/basics_solutions.html)
<!----------------------------------------------------------------------------->
# Multiple Imputation
## Column 1
### Lecture Slides
- [Univariate MI](lectures/2_mi/univariate_mi.pdf)
- [Multivariate MI](lectures/2_mi/multivariate_mi.pdf)
- [MI Diagnostics](lectures/2_mi/diagnostics.pdf)
### R Demonstration
- [Demo Script 2: MI](demos/2_mi/mi.R)
### R Labs
#### Exercises
- [Lab2a: MI Fundamentals](labs/2_mi/mi_fundamentals.html)
- [Lab2b: Passive Imputation](labs/2_mi/passive_imputation.html)
- [Lab2c: MI Workflows](labs/2_mi/mi_workflows.html)
#### Solutions
- [Lab2a Solutions](labs/2_mi/mi_fundamentals_solutions.html)
- [Lab2b Solutions](labs/2_mi/passive_imputation_solutions.html)
- [Lab2c Solutions](labs/2_mi/mi_workflows_solutions.html)
<!-----------------------------------------------------------------------------
# Full Information Maximum Likelihood
## Column 1
### Lecture Slides
- [FIML](lectures/3_fiml/fiml.pdf)
- [ML Example](lectures/3_fiml/ml_example.pdf)
### R Demonstration
- [Demo Script 3: FIML](demos/3_fiml/fiml_demo.R)
### R Lab
- [Lab 3: FIML](labs/3_fiml/fiml.html)
- [Lab 3 Solutions](labs/3_fiml/fiml_solutions.html)
------------------------------------------------------------------------------->