runMultiplePlp: Run a list of predictions analyses

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

Run a list of predictions analyses

Description

Run a list of predictions analyses

Usage

runMultiplePlp(
  databaseDetails = createDatabaseDetails(),
  modelDesignList = list(createModelDesign(targetId = 1, outcomeId = 2, modelSettings =
    setLassoLogisticRegression()), createModelDesign(targetId = 1, outcomeId = 3,
    modelSettings = setLassoLogisticRegression())),
  onlyFetchData = F,
  splitSettings = createDefaultSplitSetting(type = "stratified", testFraction = 0.25,
    trainFraction = 0.75, splitSeed = 123, nfold = 3),
  cohortDefinitions = NULL,
  logSettings = createLogSettings(verbosity = "DEBUG", timeStamp = T, logName =
    "runPlp Log"),
  saveDirectory = getwd()
)

Arguments

databaseDetails	The database settings created using createDatabaseDetails()
modelDesignList	A list of model designs created using createModelDesign()
onlyFetchData	Only fetches and saves the data object to the output folder without running the analysis.
splitSettings	The train/validation/test splitting used by all analyses created using createDefaultSplitSetting()
cohortDefinitions	A list of cohort definitions for the target and outcome cohorts
logSettings	The setting spexcifying the logging for the analyses created using createLogSettings()
saveDirectory	Name of the folder where all the outputs will written to.

Details

This function will run all specified predictions as defined using .

Value

A data frame with the following columns:

analysisId	The unique identifier for a set of analysis choices.
cohortId	The ID of the target cohort populations.
outcomeId	The ID of the outcomeId.
dataLocation	The location where the plpData was saved
evaluationFolder	The name of file containing the evaluation saved as a csv
the settings ids	The ids for all other settings used for model development.

quinterpriest/PatientLevelPrediction documentation built on April 20, 2022, 12:50 a.m.