OhdsiReportGenerator (version 2.0.2)

getCmMetaEstimation: Extract the cohort method meta analysis results

Description

This function extracts any meta analysis estimation results for cohort method.

Usage

getCmMetaEstimation(
  connectionHandler,
  schema,
  cmTablePrefix = "cm_",
  cgTablePrefix = "cg_",
  esTablePrefix = "es_",
  targetIds = NULL,
  outcomeIds = NULL,
  comparatorIds = NULL,
  includeOneSidedP = TRUE
)

Value

Returns a data.frame with the columns:

• databaseName the name of the database

• analysisId the analysis unique identifier

• description a description of the analysis

• targetName the target cohort name

• targetId the target cohort unique identifier

• comparatorName the comparator cohort name

• comparatorId the comparator cohort unique identifier

• outcomeName the outcome name

• outcomeId the outcome cohort unique identifier

• calibratedRr the calibrated relative risk

• calibratedRrCi95Lb the calibrated relative risk 95 percent confidence interval lower bound

• calibratedRrCi95Ub the calibrated relative risk 95 percent confidence interval upper bound

• calibratedP the two sided calibrated p value

• calibratedOneSidedP the one sided calibrated p value

• calibratedLogRr the calibrated relative risk logged

• calibratedSeLogRr the standard error of the calibrated relative risk logged

• targetSubjects the number of people in the target cohort across included database

• comparatorSubjects the number of people in the comparator cohort across included database

• targetDays the total number of days at risk across the target cohort people across included database

• comparatorDays the total number of days at risk across the comparator cohort people across included database

• targetOutcomes the total number of outcomes occuring during the time at risk for the target cohort people across included database

• comparatorOutcomes the total number of outcomes occuring during the time at risk for the comparator cohort people across included database

• unblind whether the results can be unblinded.

• nDatabases the number of databases included

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)

cmTablePrefix

The prefix used for the cohort method results tables

cgTablePrefix

The prefix used for the cohort generator results tables

esTablePrefix

The prefix used for the evidence synthesis results tables

targetIds

A vector of integers corresponding to the target cohort IDs

outcomeIds

A vector of integers corresponding to the outcome cohort IDs

comparatorIds

A vector of integers corresponding to the comparator cohort IDs

includeOneSidedP

This lets you extract from older results that do not have the one sided p by setting this to FALSE

Details

Specify the connectionHandler, the schema and the target/comparator/outcome cohort IDs

See Also

Other Estimation: getCMEstimation(), getCmDiagnosticsData(), getCmNegativeControlEstimates(), getCmOutcomes(), getCmPropensityModel(), getCmTable(), getCmTargets(), getSccsDiagnosticsData(), getSccsEstimation(), getSccsMetaEstimation(), getSccsModel(), getSccsNegativeControlEstimates(), getSccsOutcomes(), getSccsTable(), getSccsTargets(), getSccsTimeToEvent(), plotCmEstimates(), plotSccsEstimates()

Examples

conDet <- getExampleConnectionDetails()

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

cmMeta <- getCmMetaEstimation(
  connectionHandler = connectionHandler, 
  schema = 'main',
  targetIds = 1,
  outcomeIds = 3
)