View source: R/CharacterzationQueries.R
getCaseCounts | R Documentation |
This function extracts outcome cohort counts across databases in the results for specified target and outcome cohorts.
getCaseCounts(
connectionHandler,
schema,
cTablePrefix = "c_",
cgTablePrefix = "cg_",
databaseTable = "database_meta_data",
targetIds = NULL,
outcomeIds = NULL
)
connectionHandler |
A connection handler that connects to the database and extracts sql queries. Create a connection handler via 'ResultModelManager::ConnectionHandler$new()'. |
schema |
The result database schema (e.g., 'main' for sqlite) |
cTablePrefix |
The prefix used for the characterization results tables |
cgTablePrefix |
The prefix used for the cohort generator results tables |
databaseTable |
The name of the table with the database details (default 'database_meta_data') |
targetIds |
A vector of integers corresponding to the target cohort IDs |
outcomeIds |
A vector of integers corresponding to the outcome cohort IDs |
Specify the connectionHandler, the schema and the target/outcome cohort IDs
Returns a data.frame with the columns:
databaseName the name of the database
targetName the target cohort name
targetId the target cohort unique identifier
outcomeName the outcome name
outcomeId the outcome unique identifier
rowCount the number of entries in the cohort
personCount the number of people in the cohort
minPriorObservation the minimum required observation days prior to index for an entry
outcomeWashoutDays patients with the outcome occurring within this number of days prior to index are excluded (NA means no exclusion)
riskWindowStart the number of days ofset the start anchor that is the start of the time-at-risk
startAnchor the start anchor is either the target cohort start or cohort end date
riskWindowEnd the number of days ofset the end anchor that is the end of the time-at-risk
endAnchor the end anchor is either the target cohort start or cohort end date
Other Characterization:
getBinaryCaseSeries()
,
getBinaryRiskFactors()
,
getCaseBinaryFeatures()
,
getCaseContinuousFeatures()
,
getCharacterizationDemographics()
,
getContinuousCaseSeries()
,
getContinuousRiskFactors()
,
getDechallengeRechallenge()
,
getIncidenceRates()
,
getTargetBinaryFeatures()
,
getTargetContinuousFeatures()
,
getTargetCounts()
,
getTimeToEvent()
,
plotAgeDistributions()
,
plotSexDistributions()
conDet <- getExampleConnectionDetails()
connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)
cc <- getCaseCounts(
connectionHandler = connectionHandler,
schema = 'main'
)
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