olkin_auc1

source

Area under the receiver operating characteristic curves (AUC) statistic for significance test. Variance and covariance of AUC values used to assess the 95% Confidence interval (CI) and p-value of the AUC difference for both nested and non-nested model.

Moksedul Momin

R2ROC

AUC Statistics

Hong Lee

olkin_auc1 function

<dl><dt>omat</dt>
<dd>3 by 3 matrix having the correlation coefficients between y, x1 and x2, i.e. omat=cor(dat) where dat is N by 3 matrix having variables in the order of cbind (y,x1,x2)</dd>
<dt>nv</dt>
<dd>Sample size</dd>
<dt>kv</dt>
<dd>Population prevalance</dd></dl>

Arguments

olkin_auc1 function — olkin_auc1

<dl>

<dt>omat</dt>
<dd>3 by 3 matrix having the correlation coefficients between y, x1 and x2, i.e. omat=cor(dat) where dat is N by 3 matrix having variables in the order of cbind (y,x1,x2)</dd>


<dt>nv</dt>
<dd>Sample size</dd>


<dt>kv</dt>
<dd>Population prevalance</dd>

</dl>

olkin_auc1: olkin_auc1 function

Description

Usage

Value

Arguments