Step 3. Visualise the sequence ratios"

In CohortSymmetry: Sequence Symmetry Analysis Using the Observational Medical Outcomes Partnership Common Data Model

knitr::opts_chunk$set(
  warning = FALSE,
  message = FALSE,
  collapse = TRUE,
  comment = "#>",
  fig.width = 7,
  fig.height = 5,
  eval = Sys.getenv("$RUNNER_OS") != "macOS"
)

if (Sys.getenv("EUNOMIA_DATA_FOLDER") == "") Sys.setenv("EUNOMIA_DATA_FOLDER" = tempdir())
if (!dir.exists(Sys.getenv("EUNOMIA_DATA_FOLDER"))) dir.create(Sys.getenv("EUNOMIA_DATA_FOLDER"))
if (!CDMConnector::eunomiaIsAvailable()) CDMConnector::downloadEunomiaData()

Introduction

In this vignette we will explore the functionality and arguments of a set of functions that will help us to understand and visualise the sequence ratio results. In particular, we will delve into the following functions:

• tableSequenceRatios(): to generate a table summarising the results.
• plotSequenceRatios(): to plot the sequence ratios.

This function builds-up on previous functions, such as generateSequenceCohortSet() and summariseSequenceRatios() function (explained in detail in previous vignettes: Step 1. Generate a sequence cohort and Step 2. Obtain the sequence ratios respectively). Hence, we will pick up the explanation from where we left off in the previous vignette.

# Load libraries
library(CDMConnector)
library(dplyr)
library(DBI)
library(CohortSymmetry)
library(duckdb)
library(DrugUtilisation)

# Connect to the database
db <- DBI::dbConnect(duckdb::duckdb(), 
                     dbdir = CDMConnector::eunomiaDir())
cdm <- cdmFromCon(
  con = db,
  cdmSchema = "main",
  writeSchema = "main"
)

# Generate cohorts
cdm <- DrugUtilisation::generateIngredientCohortSet(
  cdm = cdm,
  name = "aspirin",
  ingredient = "aspirin")

cdm <- DrugUtilisation::generateIngredientCohortSet(
  cdm = cdm,
  name = "acetaminophen",
  ingredient = "acetaminophen")

# Generate a sequence cohort
cdm <- generateSequenceCohortSet(
  cdm = cdm,
  indexTable = "aspirin",
  markerTable = "acetaminophen",
  name = "intersect",
  combinationWindow = c(0,Inf))

Recall we had the table intersect in the cdm reference and that the results of sequence ratio could produced as follows (Step 2. Obtain the sequence ratios):

result <- summariseSequenceRatios(cohort = cdm$intersect)

Table output of the sequence ratio results

The function tableSequenceRatios inputs the result from summariseSequenceRatios, the default outputs a gt table.

tableSequenceRatios(result = result)

Modify type

Instead of a gt table, the user may also want to put the sequence ratio results in a flex table format (the rest of the arguments that we saw for a gt table also applies here):

tableSequenceRatios(result = result,
                    type = "flextable")

Or a tibble:

tableSequenceRatios(result = result,
                    type = "tibble")

Plot output of the sequence ratio results

Similarly, we also have plotSequenceRatios() to visualise the results.

plotSequenceRatios(result = result)

By default, it plots both the adjusted sequence ratios (and its CIs) and crude sequence ratios (and its CIs). One may wish to only plot adjusted one like so (note since only adjusted is plotted, only one colour needs to be specified):

Modify onlyASR and colours

plotSequenceRatios(result = result,
                   onlyASR = T,
                   colours = "black")

One could change the colour like so:

plotSequenceRatios(result = result,
                   onlyASR = T,
                   colours = "red")

CDMConnector::cdmDisconnect(cdm = cdm)

CohortSymmetry documentation built on April 3, 2025, 5:26 p.m.