riskCommunicator

riskCommunicator provides estimation of interpretable absolute and relative effect measures from time-fixed epidemiological data to support clear communication of causal risk differences, risk ratios, incidence rate differences and ratios, number needed to treat, and mean differences.

Key Features:

• Diverse Effect Measures: Estimates risk differences and ratios, number needed to treat (NNT), incidence rate differences and ratios, and mean differences.
• G-computation with parametric regression: Implements g-computation using parametric regression models for effect estimation in time-fixed data.
• Bootstrapped confidence intervals: Uses bootstrapping to generate confidence intervals for estimated effects.

Scientific Applications:

• Framingham Heart Study analysis: Applied to estimate the impact of prevalent diabetes on the 24-year risk of cardiovascular disease or death in the Framingham Heart Study.

Methodology:

Implements g-computation with parametric regression models and uses bootstrapping to obtain confidence intervals.