<code>t_A</code> provides the cumulative risk of
some genetic risk factor for developing disease A
in some target population as a function of age.

datasets

Risk-related information (like the prevalence of conditions, the sensitivity and specificity of diagnostic tests, or the effectiveness of interventions or treatments) can be expressed in terms of frequencies or probabilities. By providing a toolbox of corresponding metrics and representations, 'riskyr' computes, translates, and visualizes risk-related information in a variety of ways. Adopting multiple complementary perspectives provides insights into the interplay between key parameters and renders teaching and training programs on risk literacy more transparent.

Hansjoerg Neth

riskyr

Rendering Risk Literacy more Transparent

Felix Gaisbauer

Nico Gradwohl

Wolfgang Gaissmaier

t_A function

A data frame (17 x 2).
<code>age</code>: age (in years).
<code>crisk_A</code>: cumulative risk of developing
some disease A in the target population.

t_A: Cumulative risk curve A (main/transfer task A).

Description

Usage

Arguments

Format

See Also