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Introducing riskCommunicator: an R package to obtain interpretable effect estimates for public health
[article]
2022
medRxiv
pre-print
AbstractCommon statistical modeling methods do not necessarily produce the most relevant or interpretable effect estimates to communicate risk. Overreliance on the odds ratio and relative effect measures limit the potential impact of epidemiologic and public health research. We created a straightforward R package, called riskCommunicator, to facilitate the presentation of a variety of effect measures, including risk differences and ratios, number needed to treat, incidence rate differences and
doi:10.1101/2022.03.02.22271755
fatcat:4d3lhqcvx5csda4gml3ezxhwry