update

Author: LucyMcGowan

exercises/13-quartets.qmd

@@ -46,7 +46,7 @@ For each of the following 4 datasets, fit a linear linear model examining the re
 
 ## Stretch goal
 
-Try to fit a propensity score model for a continuous exposure predicting `exposure_baseline` using `covariate_baseline`. Create a propensity score weight and use it in a model to estiamte the relationship between `outcome_followup` and `exposure_baseline`
+Use the "g-computation" method to examine the causal effect of a change in exposure from 0 to 1 for each of the datasets. How does this compare to the results above? 
 
 ```{r}