risks

CRANrisksMaRDI QIDQ5984372

Estimate Risk Ratios and Risk Differences using Regression

Konrad Stopsack, Travis A. Gerke

Last update: 13 June 2023

Copyright license: GNU General Public License, version 3.0

Software version identifier: 0.4.2

Description

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.

Cites work

• A Modified Poisson Regression Approach to Prospective Studies with Binary Data
• Risk ratio and rate ratio estimation in case‐cohort designs: Hypertension and cardiovascular mortality
• Easy SAS Calculations for Risk or Prevalence Ratios and Differences

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