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steno-aarhus · May 23, 2024 · 2b4b3aa · 2b4b3aa
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diff --git a/data/dataset.qmd → data/nhanes_dataset_info.qmd b/data/dataset.qmd → data/nhanes_dataset_info.qmd
diff --git a/sessions/causal-mediation-analysis-estimation.qmd b/sessions/causal-mediation-analysis-estimation.qmd
@@ -439,7 +439,7 @@ as a confounder of M and Y. When considering the effect on Y of changes
 to X via a specific mediator M, the presence of L is challenging and
 regression-based methods could no longer handle this situation.
 
-```{r }
+```{r  echo=FALSE }
 # Creating The causal diagram for a mediation model
 library(DiagrammeR)
 grViz("
@@ -475,7 +475,7 @@ high-dimensional settings, g-computation is more powerful. G-computation
 (using g-formula) could also provide an intuitive method for decomposing
 the total effect.
 
-```{r }
+```{r echo=FALSE}
 # Creating The causal diagram for a mediation model
 library(DiagrammeR)
 grViz("