NRI2: Net reclassification improvement 2 no thresholds

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

Description

This function calculates a modified net reclassification improvement (NRI) metric comparing two models at a range of predicting tresholds (simialr to library(Hmisc))

Usage

NRI2(plpModel1, plpModel2, minOutcomes = 5)

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
minOutcomes	Must be this number of outcomes minimum for comparison

Details

Users need to input a trained model (the output of runPlp()) or the output of running an existing model

Value

A list containing the NRI 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.