Inference with imputed data
In the last exercise, you have run mice
to multiply impute the africa
data. In this one, you will implement the other two steps of the mice - with - pool flow you've learned about earlier in the course. The model of interest is a linear regression that explains the GDP, gdp_pc
, with other variables. You are particularly interested in the coefficient of civil liberties, civlib
. Is more liberty associated with more economic growth once we incorporate the uncertainty from imputation? Let's find out!
This exercise is part of the course
Handling Missing Data with Imputations in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Fit linear regression to each imputed data set
lm_multiimp <- ___(___, ___)