getThresholds: Get prediction risk thresholds for quantiles

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

Description

This function calculates the net reclassification improvement (NRI) metric comparing two models at a range of predicting tresholds

Usage

getThresholds(plpModel1, plpModel2, percentage = c(0.99, 0.95, 0.9, 0.5))

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
percentage	A quantile percentage (e.g., c(0.99, 0.95)) will find the threshold that only 1 percent and 5 percent of people have a risk equal to or higher than for both models

Details

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

Value

A data.frame with each column being the risk thresholds per model and rows corresponding to the input quantiles

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