PatientLevelPrediction (version 6.4.1)

predictPlp: predictPlp

Description

Predict the risk of the outcome using the input plpModel for the input plpData

Usage

predictPlp(plpModel, plpData, population, timepoint)

Value

A data frame containing the predicted risk values

Arguments

plpModel

An object of type plpModel - a patient level prediction model

plpData

An object of type plpData - the patient level prediction data extracted from the CDM.

population

The population created using createStudyPopulation() who will have their risks predicted or a cohort without the outcome known

timepoint

The timepoint to predict risk (survival models only)

Details

The function applied the trained model on the plpData to make predictions

Examples

coefficients <- data.frame(
  covariateId = c(1002),
  coefficient = c(0.05)
)
model <- createGlmModel(coefficients, intercept = -2.5)
data("simulationProfile")
plpData <- simulatePlpData(simulationProfile, n = 50)
prediction <- predictPlp(model, plpData, plpData$cohorts)
# see the predicted risk values
head(prediction)