pool_auc: Calculates the pooled C-statistic (Area Under the ROC Curve)...
In psfmi: Prediction Model Pooling, Selection and Performance Evaluation Across Multiply Imputed Datasets

pool_auc

R Documentation

Calculates the pooled C-statistic (Area Under the ROC Curve) across Multiply Imputed datasets

pool_auc Calculates the pooled C-statistic and 95 by using Rubin's Rules. The C-statistic values are log transformed before pooling.

pool_auc(est_auc, est_se, nimp = 5, log_auc = TRUE)

`est_auc`	A list of C-statistic (AUC/ROC) values estimated in Multiply Imputed datasets.
`est_se`	A list of standard errors of C-statistic values estimated in Multiply Imputed datasets.
`nimp`	A numerical scalar. Number of imputed datasets. Default is 5.
`log_auc`	If TRUE natural logarithmic transformation is applied before pooling and finally back transformed. If FALSE the raw values are pooled.

The pooled C-statistic value and the 95

Martijn Heymans, 2021