hessAUC

function for Hessian matrix of AUC

Optimal linear combination predictive signatures for maximizing the area between two Receiver Operating Characteristic (ROC) curves (treatment vs. control).

Xin Huang

ROCSI

Receiver Operating Characteristic Based Signature Identification

hessAUC function

<dl><dt>beta</dt>
<dd>estimates of coefficient beta</dd>
<dt>Z</dt>
<dd>(m x n) x p data matrix as prepared for ROCSI</dd>
<dt>w</dt>
<dd>a vector of weights Z (can be used for inverse probability weighting for missing data, default is 1)</dd></dl>

Arguments

hessAUC — hessAUC

<dl>

<dt>beta</dt>
<dd>estimates of coefficient beta</dd>


<dt>Z</dt>
<dd>(m x n) x p data matrix as prepared for ROCSI</dd>


<dt>w</dt>
<dd>a vector of weights Z (can be used for inverse probability weighting for missing data, default is 1)</dd>

</dl>

hessAUC: hessAUC

Description

Usage

Value

Arguments

Details

Examples