predictCyclops: Create predictive probabilities

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

Create predictive probabilities

Description

Create predictive probabilities

Usage

predictCyclops(plpModel, data, cohort)

Arguments

plpModel	An object of type predictiveModel as generated using fitPlp.
data	The new plpData containing the covariateData for the new population
cohort	The cohort to calculate the prediction for

Details

Generates predictions for the population specified in plpData given the model.

Value

The value column in the result data.frame is: logistic: probabilities of the outcome, poisson: Poisson rate (per day) of the outome, survival: hazard rate (per day) of the outcome.

Examples

 
data("simulationProfile")
plpData <- simulatePlpData(simulationProfile, n = 1000)
population <- createStudyPopulation(plpData, outcomeId = 3)
data <- splitData(plpData, population)
plpModel <- fitPlp(data$Train, modelSettings = setLassoLogisticRegression(),
                   analysisId = "test", analysisPath = NULL)
prediction <- predictCyclops(plpModel, data$Test, data$Test$labels)
# view prediction dataframe
head(prediction)

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