Database diagnostics

phenotypeR diagnostics on the cdm object.

Diagnostics include: * Summarise a cdm_reference object, creating a snapshot with the metadata of the cdm_reference object. * Summarise the observation period table getting some overall statistics in a summarised_result object. * Summarise the person table including demographics (sex, race, ethnicity, year of birth) and related statistics.

Usage

databaseDiagnostics(cohort)

Arguments

cohort

Cohort table in a cdm reference

Value

A summarised result

Examples

# \donttest{
library(omock)
library(PhenotypeR)
library(CohortConstructor)

cdm <- mockCdmFromDataset(source = "duckdb")
#> ℹ Reading GiBleed tables.
#> ℹ Adding drug_strength table.
#> ℹ Creating local <cdm_reference> object.
#> ℹ Inserting <cdm_reference> into duckdb.

cdm$new_cohort <- conceptCohort(cdm,
                                conceptSet = list("codes" = c(40213201L, 4336464L)),
                                name = "new_cohort")
#> ℹ Subsetting table drug_exposure using 1 concept with domain: drug.
#> ℹ Subsetting table procedure_occurrence using 1 concept with domain: procedure.
#> ℹ Combining tables.
#> ℹ Creating cohort attributes.
#> ℹ Applying cohort requirements.
#> ℹ Merging overlapping records.
#> ✔ Cohort new_cohort created.

# }