predict_auc_mt_cc: Expected AUC for prediction of a binary trait using...

In psoerensen/qgg: Statistical Tools for Quantitative Genetic Analyses

Expected AUC for prediction of a binary trait using information on correlated binary trait

Description

Computes the expected Area Under the Curve (AUC) for predicting a binary trait using information on a correlated binary trait.

Usage

predict_auc_mt_cc(h2x, Nx, Kx, Px, h2y, Ny, Ky, Py, rg, Me, M)

Arguments

h2x	Heritability of the target trait.
Nx	Number of samples for the target trait.
Kx	Prevalence of the target trait.
Px	Case-control proportion of the target trait.
h2y	Heritability of the correlated trait.
Ny	Number of samples for the correlated trait.
Ky	Prevalence of the correlated trait.
Py	Case-control proportion of the correlated trait.
rg	Genetic correlation between the target and the correlated trait.
Me	Number of independent chromosome segments.
M	Number of markers.

Value

A numeric value representing the expected AUC.

psoerensen/qgg documentation built on March 9, 2024, 10:02 p.m.