index.md

In tgerke/risks: Estimate risk ratios and risk differences using regression

risks: Estimating risk ratios and risk differences using regression

Installation

Once risks is released on CRAN, install.packages("risks") will be available. Currently, the development version of risks can be installed from GitHub using:

# If the "remotes" package is missing:  install.packages("remotes")
remotes::install_github("stopsack/risks")

Summary

The risks package fits regression models for risk ratios (RR) and risk differences (RD). For brevity, the package refers to “risk,” but “prevalence” can be substituted throughout.

What is the association between an exposure (smoker/nonsmoker, age in years, or underweight/lean/overweight/obese) and the risk of a binary outcome (dead/alive, disease/healthy), perhaps adjusting for confounders (men/women, years of education)? For such questions, many studies default to reporting odds ratios, which may exaggerate associations when the outcome is common. Odds ratios are often used because they are easily obtained from logistic regression models. Obtaining risk ratios or risk differences, especially adjusting for confounders, has typically required more advanced biostatistics and programming skills, including in R.

The risks package makes estimating adjusted risk ratios and risk differences as simple as fitting a logistic regression model. No advanced programming or biostatistics skills are required. Risk ratios or risk differences are returned whenever the data would allow for fitting a logistic model.

Further reading

• Get started with the risks package
• Models and model comparisons
• Marginal standardization

tgerke/risks documentation built on Jan. 28, 2024, 1:08 a.m.