Exploring Causal Estimands

• Analytics use case(s): Population-Level Estimation
• Study type: Methods Research
• Tags: -
• Study lead: Martijn Schuemie
• Study lead forums tag: schuemie
• Study start date: April 1, 2025
• Study end date: -
• Protocol: -
• Publications: -
• Results explorer: -

An exploration and evaluation of various causal models and their estimands using simulation and real data.

How to run

1. Follow these instructions for seting up your R environment, including RTools and Java.

2. Open your study package in RStudio. Use the following code to install all the dependencies:

   renv::restore()

3. See the Simulations and RealworldExample folders for the R scripts used in this study. Running the RealworldExample experiment from scratch requires a database in Common Data Model version 5.

License

The contents of this repository are licensed under the Apache License 2.0.