predictPlp: predictPlp

In OHDSI/PatientLevelPrediction: Develop Clinical Prediction Models Using the Common Data Model

predictPlp

Description

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

Usage

predictPlp(plpModel, plpData, population, timepoint)

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

Value

A data frame containing the predicted risk values

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)

OHDSI/PatientLevelPrediction documentation built on Feb. 14, 2025, 9:44 a.m.