diagnostic: diagnostic - Investigates the prediction problem settings -...

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

diagnostic - Investigates the prediction problem settings - use before training a model

Description

This function runs a set of prediction diagnoses to help pick a suitable T, O, TAR and determine whether the prediction problem is worth executing.

Usage

diagnostic(
  plpData = NULL,
  cdmDatabaseName = "none",
  cohortName,
  outcomeNames,
  databaseDetails,
  restrictPlpDataSettings,
  populationSettings,
  outputFolder = NULL,
  minCellCount = 5
)

Arguments

plpData	The data object to do the diagnostic on - if NULL you need to specify the connection settings below
cdmDatabaseName	The name of the database being diagnosed
cohortName	Name of the target cohort
outcomeNames	Vector of outcome names
databaseDetails	(only used is plpData is NULL) The database details created using createDatabaseDetails
restrictPlpDataSettings	(only used is plpData is NULL) The restrictPlpDataSettings created using createRestrictPlpDataSettings
populationSettings	The population setting details created using createPopulationSettings
outputFolder	Location to save results for shiny app
minCellCount	The minimum count that will be displayed

Details

Users can define set of Ts, Os, databases and population settings. A list of data.frames containing details such as follow-up time distribution, time-to-event information, characteriszation details, time from last prior event, observation time distribution.

Value

An object containing the model or location where the model is save, the data selection settings, the preprocessing and training settings as well as various performance measures obtained by the model.

distribution	list for each O of a data.frame containing: i) Time to observation end distribution, ii) Time from observation start distribution, iii) Time to event distribution and iv) Time from last prior event to index distribution (only for patients in T who have O before index)
incident	list for each O of incidence of O in T during TAR
characterization	list for each O of Characterization of T, TnO, Tn~O

Examples

## Not run: 
#******** EXAMPLE 1 ********* 

## End(Not run) 

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