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Build the drug_era table

Usage

buildDrugEra(cdm, collapseDays = 30L)

Arguments

cdm

A cdm_reference object.

collapseDays

Number of days that two exposures can be separated to be collapsed in a single era.

Value

The lazy drug_era table.

Examples

# \donttest{
library(omock)
library(OmopConstructor)
library(dplyr, warn.conflicts = TRUE)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union

cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb")
#>  Loading bundled GiBleed tables from package data.
#>  Adding drug_strength table.
#>  Creating local <cdm_reference> object.
#>  Inserting <cdm_reference> into duckdb.

cdm$drug_era <- buildDrugEra(cdm = cdm)
cdm$drug_era |>
  glimpse()
#> Rows: ??
#> Columns: 7
#> Database: DuckDB 1.5.2 [unknown@Linux 6.17.0-1010-azure:R 4.6.0//tmp/Rtmp15Fe4z/file1b3f5cbd0436.duckdb]
#> $ drug_era_id         <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
#> $ person_id           <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
#> $ drug_concept_id     <int> 1112807, 1177480, 1729720, 1124957, 1361711, 17688…
#> $ drug_era_start_date <date> 1970-12-03, 1978-06-22, 1953-02-06, 1978-06-22, 2…
#> $ drug_era_end_date   <date> 1970-12-31, 1978-07-27, 1953-02-16, 1978-06-22, 2…
#> $ drug_exposure_count <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
#> $ gap_days            <int> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,

# }