tipr: An R package for sensitivity analyses for unmeasured confounders

R Submitted 06 May 2022Published 05 September 2022
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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} }
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statistics epidemiology sensitivity analyses causal inference confounding

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ISSN 2475-9066