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outstandR: Outcome regression standardisation

R-CMD-check Lifecycle: experimental License: GPL v3

Model-based Standardisation with G-estimation

Overview

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

Installation

Install the development version from GitHub using remotes:

remotes::install_github("StatisticsHealthEconomics/outstandR")

License

This package is licensed under the GPLv3. For more information, see LICENSE.

Contributing

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.