Merge pull request #48 from tgerke/master

Author: malcolmbarrett

slides/raw/01-causal_modeling_whole_game.qmd

@@ -26,7 +26,7 @@ library(halfmoon)
 set.seed(1234)
 ```
 
-1. Specify causal question
+1. Specify causal question (e.g. target trial)
 2. Draw assumptions (causal diagram)
 3. Model assumptions (e.g. propensity score)
 4. Analyze propensities (diagnostics)
@@ -481,5 +481,5 @@ bind_rows(
 
 ## Resources {background-color="#23373B"}
 ### [Causal Inference](https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/): Comprehensive text on causal inference. Free online.
-### [Causal Inference Notebook](http://causalinferencebookr.netlify.com): R code to go along with Causal Inference
 ### [Bootstrap confidence intervals with {rsample}](https://rsample.tidymodels.org/articles/Applications/Intervals.html)
+### [R-causal](https://github.com/r-causal): Our GitHub org with R packages and examples

slides/raw/04-dags.qmd

@@ -112,6 +112,7 @@ knitr::include_graphics("img/tidy_ggdagitty.png")
 ```{r}
 #| eval: false
 #| code-line-numbers: "|2|3"
+library(ggdag)
 dagify(
   cancer ~ smoking, 
   coffee ~ smoking
@@ -390,8 +391,15 @@ bind_rows(
 
 . . .
 
+**Forgetting to consider time-ordering (something has to happen before something else to cause it!)**
+
+. . .
+
 **Selection bias and colliders (more later!)**
 
+. . .
+
+**Incorrect functional form for confounders (e.g. BMI often non-linear)**
 
 ## Resources: ggdag vignettes {background-color="#23373B"}
 ### [An Introduction to ggdag](https://ggdag.malco.io/articles/intro-to-ggdag.html)