Model-based Standardisation with G-estimation
outstandR is an R package designed to facilitate outcome regression standardisation using model-based approaches, particularly focusing on G-estimation. The package provides tools to apply standardisation techniques for indirect treatment comparisons, especially in scenarios with limited individual patient data.
Key features include:
- G-computation methods
- Multiple imputation marginalisation
- MAIC, STC for comparison
This R package contains code originally written for the papers:
Remiro-Azócar, A., Heath, A. & Baio, G. (2022) Parametric G-computation for Compatible Indirect Treatment Comparisons with Limited Individual Patient Data. Res Synth Methods;1–31.
and
Remiro-Azócar, A., Heath, A., & Baio, G. (2023) Model-based standardization using multiple imputation. BMC Medical Research Methodology, 1–15. https://doi.org/10.1186/s12874-024-02157-x
Install the development version from GitHub using remotes:
remotes::install_github("StatisticsHealthEconomics/outstandR")This package is licensed under the GPLv3. For more information, see LICENSE.
We welcome contributions! Please submit contributions through Pull Requests, following the contributing guidelines.
To report issues and/or seek support, please file a new ticket in the
issue tracker.
Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.