Skip to content

"A benchmark causal inference (ABCi) data set: simulated data on time-varying treatments, confounders and outcomes based on patients with type 2 diabetes." Ruth Keogh, Nan van Geloven, Daniala Weir.

Notifications You must be signed in to change notification settings

ruthkeogh/ABCi_data

Repository files navigation

ABCi: A benchmark causal inference data set

This repository provides the ABCi data set, data generation code, and code for illustrating the use of the data, as described in the draft paper (See ABCi_data_paper_draft_August2025.pdf for the current draft):

"A benchmark causal inference (ABCi) data set: simulated data on time-varying treatments, confounders and outcomes based on patients with type 2 diabetes." Ruth Keogh, Nan van Geloven, Daniala Weir.

The data

The ABCi data set is provided as an R data file, ABCi_data.RData. The code for generating the data is in ABCi_data_generate.R. Descriptive information about the data can be generated using data_descriptives.R.

Illustration

An illustration of the use of the data, as described in the draft paper for Example Quesion 1 (Table 2). The files for implementing the analyses are called from the file master_Q1.R. Similar code for Example Questions 2,3,4 will appear soon.

About

"A benchmark causal inference (ABCi) data set: simulated data on time-varying treatments, confounders and outcomes based on patients with type 2 diabetes." Ruth Keogh, Nan van Geloven, Daniala Weir.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages