getPredictionIntercept: Extract model interception (for logistic regression)

In OhdsiReportGenerator: Observational Health Data Sciences and Informatics Report Generator

Extract model interception (for logistic regression)

Description

This function extracts the interception value

Usage

getPredictionIntercept(
  connectionHandler,
  schema,
  plpTablePrefix = "plp_",
  modelDesignId = NULL,
  databaseId = NULL
)

Arguments

connectionHandler	A connection handler that connects to the database and extracts sql queries. Create a connection handler via 'ResultModelManager::ConnectionHandler$new()'.
schema	The result database schema (e.g., 'main' for sqlite)
plpTablePrefix	The prefix used for the patient level prediction results tables
modelDesignId	The identifier for a model design to restrict to
databaseId	The identifier for the development database to restrict to

Details

Specify the connectionHandler, the resultDatabaseSettings, the modelDesignId and the databaseId

Value

Returns a single value corresponding to the model intercept or NULL if not a logistic regression model

See Also

Other Prediction: getPredictionCohorts(), getPredictionDiagnosticTable(), getPredictionDiagnostics(), getPredictionHyperParamSearch(), getPredictionModelDesigns(), getPredictionPerformanceTable(), getPredictionPerformances(), getPredictionTopPredictors()

Examples

conDet <- getExampleConnectionDetails()

connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)

intercepts <- getPredictionIntercept(
  connectionHandler = connectionHandler, 
  schema = 'main'
)

OhdsiReportGenerator documentation built on April 12, 2025, 2:09 a.m.