Extract_AUC

dataframe containing time and status information, as well as
marker

data

<code>colname</code> of the marker to use to calculate AUC

predictor

time.vect

Wrapper to evaluate time dependent AUC

internal

Algorithms for (i) unsupervised learning for dataset with
missing data and/or left-censored data, using multiple imputation and
consensus clustering ; (ii) semi-supervised learning with a survival
endpoint (right-censored) for complete or incomplete datasets, using
multiple imputation and consensus clustering in the latter case. The
methods are described in Faucheux et al. (2021)
<doi:10.1002/bimj.201900366> and Faucheux et al. (2021)
<doi:10.1002/bimj.202000365>, respectively.

Lilith Faucheux

Extract_AUC: Wrapper to evaluate time dependent AUC

Description

Usage

Arguments

Value