Published:
In this tutorial, we will focus on replicating the results using marginal structural models to estimate the average causal effects of always taking treatment and compared to never-taking treatment.
Published:
In this tutorial, we will focus on replicating the results using g-formula to estimate the average causal effects of always taking treatment and compared to never-taking treatment.
Published:
In this tutoiral, we will focus on replicating the data generation and estimates from the standard linear regression model to understand the crude differences between treated and control groups.
Published:
In this tutorial, we will focus on replicating the results using marginal structural models to estimate the average causal effects of always taking treatment and compared to never-taking treatment.
Published:
In this tutorial, we will focus on replicating the results using g-formula to estimate the average causal effects of always taking treatment and compared to never-taking treatment.
Published:
In this tutoiral, we will focus on replicating the data generation and estimates from the standard linear regression model to understand the crude differences between treated and control groups.