diff --git a/docs/notebooks/mister_p.ipynb b/docs/notebooks/mister_p.ipynb index 69259bac7..d3ac09be1 100644 --- a/docs/notebooks/mister_p.ipynb +++ b/docs/notebooks/mister_p.ipynb @@ -9,7 +9,7 @@ "\n", "## Regression and Effect Modification\n", "\n", - "What are we even doing when we fit a regression model? \n", + "What are we even doing when we fit a regression model? Is a question that arises when first learning the tools of the trade and again when debugging strange results of your thousandth logistic regression model.\n", "\n", "This notebook is intended to showcase how regression can be seen as a method for automating the calculation of stratum specific conditional effects. Additionally, we'll see how we can enrich regression models by a post-stratification adjustment with knowledge of the appropriate stratum specific weights. This technique of multilevel regression and post stratification (MrP) is often used in the context of national surveys where we have knowledge of the population weights appropriate to different demographic groups. It can be used in wide variety of areas ranging from political polling to online market research. We will demonstrate how to fit and and assess these models using Bambi. " ] @@ -38,7 +38,7 @@ "source": [ "## Risk Stratification\n", "\n", - "First consider this example of heart transplant patients adapted from Hernan and Robins' excellent book *Causal Inference: What if*. Here we have a number of patients (anaoymised with named for the Greek Gods). The data records the outcomes of a heart transplant program for those who were part of the program and those who were not. We also see the different risk levels of each patient assigned the treatment. \n", + "First consider this example of heart transplant patients adapted from Hernan and Robins' excellent book *Causal Inference: What if*. Here we have a number of patients (anonymised with named for the Greek Gods). The data records the outcomes of a heart transplant program for those who were part of the program and those who were not. We also see the different risk levels of each patient assigned the treatment. \n", "\n", "What we want to show here is that a regression model fit to this data automatically accounts for the weighting appropriate to the different risk strata." ] @@ -710,38 +710,38 @@ "
\n", "