tipr: An R package for sensitivity analyses for unmeasured confounders

R Submitted 06 May 2022Published 05 September 2022
Review

Editor: @fabian-s (all papers)
Reviewers: @gcskoenig (all reviews), @MichaelSchomaker (all reviews)

Authors

Lucy D\'Agostino McGowan (0000-0001-7297-9359)

Citation

McGowan, L. D., (2022). tipr: An R package for sensitivity analyses for unmeasured confounders. Journal of Open Source Software, 7(77), 4495, https://doi.org/10.21105/joss.04495

@article{McGowan2022, doi = {10.21105/joss.04495}, url = {https://doi.org/10.21105/joss.04495}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {77}, pages = {4495}, author = {Lucy D\'Agostino McGowan}, title = {tipr: An R package for sensitivity analyses for unmeasured confounders}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

statistics epidemiology sensitivity analyses causal inference confounding

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

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