IDI: integrated discrimination improvement- no thresholds needed...

In OHDSI/PredictionComparison: Package for comparing patient level predictions developed using OHDSI's PatientLevelPreidiction package

Description

This function calculates the ntegrated discrimination improvement (IDI) metric comparing two models

Usage

IDI(plpModel1, plpModel2)

Arguments

plpModel1	The object returned by runPlp() containing the trained model or the output when implementing an existing model
plpModel2	The object returned by runPlp() containing the trained model or the output when implementing an existing model

Details

Users need to input two trained models (the output of runPlp()) or the output of running an existing model where the plpData used was the same

Value

A list containing the IDI value and z-value (can be used for statistical significance). A positive value suggests the first model is better than the second model. A negative values suggests the opposite.

OHDSI/PredictionComparison documentation built on July 14, 2020, 6:16 p.m.