rbmi: A R package for standard and reference-based multiple imputation methods

R C++ Stan SAS Submitted 02 March 2022Published 15 June 2022
Review

Editor: @fboehm (all papers)
Reviewers: @DanielRivasMD (all reviews), @JoranTiU (all reviews)

Authors

Craig Gower-Page, Alessandro Noci, Marcel Wolbers

Citation

Gower-Page et al., (2022). rbmi: A R package for standard and reference-based multiple imputation methods. Journal of Open Source Software, 7(74), 4251, https://doi.org/10.21105/joss.04251

@article{Gower-Page2022, doi = {10.21105/joss.04251}, url = {https://doi.org/10.21105/joss.04251}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {74}, pages = {4251}, author = {Craig Gower-Page and Alessandro Noci and Marcel Wolbers}, title = {rbmi: A R package for standard and reference-based multiple imputation methods}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Biostatistics Clinical Trials Estimands Missing Data Multiple Imputation Reference-based Methods

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066