Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
eval = TRUE,
message = FALSE,
warning = FALSE,
comment = "#>"
)
## -----------------------------------------------------------------------------
library(CodelistGenerator)
library(CohortConstructor)
library(CohortCharacteristics)
library(ggplot2)
library(dplyr)
## ----include = FALSE----------------------------------------------------------
if (Sys.getenv("EUNOMIA_DATA_FOLDER") == ""){
Sys.setenv("EUNOMIA_DATA_FOLDER" = file.path(tempdir(), "eunomia"))}
if (!dir.exists(Sys.getenv("EUNOMIA_DATA_FOLDER"))){ dir.create(Sys.getenv("EUNOMIA_DATA_FOLDER"))
CDMConnector::downloadEunomiaData()
}
## -----------------------------------------------------------------------------
con <- DBI::dbConnect(duckdb::duckdb(), dbdir = CDMConnector::eunomiaDir())
cdm <- CDMConnector::cdmFromCon(con, cdmSchema = "main",
writeSchema = "main", writePrefix = "my_study_")
## -----------------------------------------------------------------------------
acetaminophen_codes <- getDrugIngredientCodes(cdm,
name = "acetaminophen",
nameStyle = "{concept_name}")
cdm$acetaminophen <- conceptCohort(cdm = cdm,
conceptSet = acetaminophen_codes,
exit = "event_end_date",
name = "acetaminophen")
## -----------------------------------------------------------------------------
summary_attrition <- summariseCohortAttrition(cdm$acetaminophen)
plotCohortAttrition(summary_attrition)
## -----------------------------------------------------------------------------
cdm$acetaminophen <- cdm$acetaminophen |>
requireIsFirstEntry()
summary_attrition <- summariseCohortAttrition(cdm$acetaminophen)
plotCohortAttrition(summary_attrition)
## -----------------------------------------------------------------------------
cdm$acetaminophen <- conceptCohort(cdm = cdm,
conceptSet = acetaminophen_codes,
exit = "event_end_date",
name = "acetaminophen")
cdm$acetaminophen <- cdm$acetaminophen |>
requireIsLastEntry()
summary_attrition <- summariseCohortAttrition(cdm$acetaminophen)
plotCohortAttrition(summary_attrition)
## -----------------------------------------------------------------------------
cdm$acetaminophen <- conceptCohort(cdm = cdm,
conceptSet = acetaminophen_codes,
exit = "event_end_date",
name = "acetaminophen")
cdm$acetaminophen <- cdm$acetaminophen |>
requireIsEntry(entryRange = c(1,2))
summary_attrition <- summariseCohortAttrition(cdm$acetaminophen)
plotCohortAttrition(summary_attrition)
## -----------------------------------------------------------------------------
cdm$acetaminophen <- conceptCohort(cdm = cdm,
conceptSet = acetaminophen_codes,
name = "acetaminophen")
## -----------------------------------------------------------------------------
cdm$acetaminophen <- cdm$acetaminophen |>
requireInDateRange(dateRange = as.Date(c("2010-01-01", "2015-01-01")))
summary_attrition <- summariseCohortAttrition(cdm$acetaminophen)
plotCohortAttrition(summary_attrition)
## -----------------------------------------------------------------------------
cdm$acetaminophen_1 <- conceptCohort(cdm = cdm,
conceptSet = acetaminophen_codes,
name = "acetaminophen_1") |>
requireIsFirstEntry() |>
requireInDateRange(dateRange = as.Date(c("2010-01-01", "2016-01-01")))
cdm$acetaminophen_2 <- conceptCohort(cdm = cdm,
conceptSet = acetaminophen_codes,
name = "acetaminophen_2") |>
requireInDateRange(dateRange = as.Date(c("2010-01-01", "2016-01-01"))) |>
requireIsFirstEntry()
## -----------------------------------------------------------------------------
summary_attrition_1 <- summariseCohortAttrition(cdm$acetaminophen_1)
summary_attrition_2 <- summariseCohortAttrition(cdm$acetaminophen_2)
## -----------------------------------------------------------------------------
plotCohortAttrition(summary_attrition_1)
## -----------------------------------------------------------------------------
plotCohortAttrition(summary_attrition_2)
## -----------------------------------------------------------------------------
medication_codes <- getDrugIngredientCodes(cdm = cdm, nameStyle = "{concept_name}")
medication_codes
## -----------------------------------------------------------------------------
cdm$medications <- conceptCohort(cdm = cdm,
conceptSet = medication_codes,
name = "medications")
cohortCount(cdm$medications) |>
filter(number_subjects > 0) |>
ggplot() +
geom_histogram(aes(number_subjects),
colour = "black",
binwidth = 25) +
xlab("Number of subjects") +
theme_bw()
## -----------------------------------------------------------------------------
cdm$medications <- cdm$medications |>
requireMinCohortCount(minCohortCount = 500)
cohortCount(cdm$medications) |>
filter(number_subjects > 0) |>
ggplot() +
geom_histogram(aes(number_subjects),
colour = "black",
binwidth = 25) +
xlim(0, NA) +
xlab("Number of subjects") +
theme_bw()
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