risks
Estimate Risk Ratios and Risk Differences using Regression
Risk ratios and risk differences are estimated using regression models that allow for binary, categorical, and continuous exposures and confounders. Implemented are marginal standardization after fitting logistic models (g-computation) with delta-method and bootstrap standard errors, Miettinen's case-duplication approach (Schouten et al. 1993, doi:10.1002/sim.4780121808), log-binomial (Poisson) models with empirical variance (Zou 2004, doi:10.1093/aje/kwh090), binomial models with starting values from Poisson models (Spiegelman and Hertzmark 2005, doi:10.1093/aje/kwi188), and others.
- Version0.4.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/13/2023
Documentation
Team
Konrad Stopsack
Travis Gerke
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- Imports9 packages
- Suggests7 packages