validateMultiplePlp: externally validate the multiple plp models across new...

In OHDSI/PatientLevelPrediction: Developing patient level prediction using data in the OMOP Common Data Model

externally validate the multiple plp models across new datasets

Description

This function loads all the models in a multiple plp analysis folder and validates the models on new data

Usage

validateMultiplePlp(
  analysesLocation,
  validationDatabaseDetails,
  validationRestrictPlpDataSettings = createRestrictPlpDataSettings(),
  recalibrate = NULL,
  cohortDefinitions = NULL,
  saveDirectory = NULL
)

Arguments

analysesLocation	The location where the multiple plp analyses are
validationDatabaseDetails	A single or list of validation database settings created using createDatabaseDetails()
validationRestrictPlpDataSettings	The settings specifying the extra restriction settings when extracting the data created using createRestrictPlpDataSettings().
recalibrate	A vector of recalibration methods (currently supports 'RecalibrationintheLarge' and/or 'weakRecalibration')
cohortDefinitions	A list of cohortDefinitions
saveDirectory	The location to save to validation results

Details

Users need to input a location where the results of the multiple plp analyses are found and the connection and database settings for the new data

OHDSI/PatientLevelPrediction documentation built on Sept. 15, 2024, 6:38 a.m.