diff --git a/docs/notebooks/radon_example.ipynb b/docs/notebooks/radon_example.ipynb
index 30335ed1..2c3fcc9e 100644
--- a/docs/notebooks/radon_example.ipynb
+++ b/docs/notebooks/radon_example.ipynb
@@ -6,7 +6,7 @@
    "source": [
     "# Hierarchical Linear Regression (Radon Contamination dataset)\n",
     "\n",
-    "In this notebook we want to revisit the classical hierarchical linear regression model based on the dataset of the *Radon Contamination* by Gelman and Hill. In particular, we want to show how easy is to port the [PyMC](https://docs.pymc.io/en/v3/) models, presented in the very complete article [A Primer on Bayesian Methods for Multilevel Modeling](https://docs.pymc.io/projects/examples/en/latest/case_studies/multilevel_modeling.html), to [Bambi](https://bambinos.github.io/bambi/main/index.html) using the more concise formula specification for the models.\n",
+    "In this notebook we want to revisit the classical hierarchical linear regression model based on the dataset of the *Radon Contamination* by Gelman and Hill. In particular, we want to show how easy is to port the [PyMC](https://docs.pymc.io/en/v3/) models, presented in the very complete article [A Primer on Bayesian Methods for Multilevel Modeling](https://docs.pymc.io/projects/examples/en/latest/case_studies/multilevel_modeling.html), to [Bambi](https://bambinos.github.io/bambi/notebooks/) using the more concise formula specification for the models.\n",
     "\n",
     "\n",
     "This example has been ported from PyMC by Juan Orduz ([\\@juanitorduz](https://github.com/juanitorduz)) and Bambi developers. "