## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## -----------------------------------------------------------------------------
library(CodelistGenerator)
library(CohortConstructor)
library(CohortCharacteristics)
library(ggplot2)
library(omock)
library(dplyr)

## -----------------------------------------------------------------------------
cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb")

## -----------------------------------------------------------------------------
fracture_codes <- getCandidateCodes(cdm, "fracture")
fracture_codes <- list("fracture" = fracture_codes$concept_id)
cdm$fracture <- conceptCohort(cdm = cdm, 
                                 conceptSet = fracture_codes, 
                                 name = "fracture")

summary_attrition <- summariseCohortAttrition(cdm$fracture)
plotCohortAttrition(summary_attrition)

## -----------------------------------------------------------------------------
cdm$fracture <- cdm$fracture |> 
  requireAge(indexDate = "cohort_start_date",
             ageRange = list(c(18, 100)))

summary_attrition <- summariseCohortAttrition(cdm$fracture)
plotCohortAttrition(summary_attrition)

## -----------------------------------------------------------------------------
cdm$fracture <- cdm$fracture |> 
  requireSex(sex = "Female")

summary_attrition <- summariseCohortAttrition(cdm$fracture)
plotCohortAttrition(summary_attrition)

## -----------------------------------------------------------------------------
cdm$fracture <- cdm$fracture |> 
  requirePriorObservation(indexDate = "cohort_start_date",
                          minPriorObservation = 365)

summary_attrition <- summariseCohortAttrition(cdm$fracture)
plotCohortAttrition(summary_attrition)

## -----------------------------------------------------------------------------
cdm$fracture <- conceptCohort(cdm = cdm, 
                                 conceptSet = fracture_codes, 
                                 name = "fracture") |> 
  requireDemographics(indexDate = "cohort_start_date",
                      ageRange = c(18,100),
                      sex = "Female",
                      minPriorObservation = 365, 
                      minFutureObservation = 30)

summary_attrition <- summariseCohortAttrition(cdm$fracture)
plotCohortAttrition(summary_attrition)