2  Proposed structure for the book

• Preface
  • Is this book for me
    • OMOP
    • R
    • Tidyverse
    • Tidy R in OMOP CDM collection
    • Set up your environment
  • About the authors
• Introduction
  • Drug Utilisation studies
  • Drug data in the OMOP CDM
  • Synthetic data used
• Drug Users identification
  • Create drug codelists
    • Stratify and subset codelists
    • Import and export codelists
  • Diagnostics
    • DrugExposureDiagnostics
    • PhenotypeR
    • Dose calculation
  • Identify users
    • Identify new users
• Population level DrugUtilisation
  • Denominator cohort
    • General Population
    • Target Population
    • External Denominator
  • Incidence
    • Standardised Incidence Rate
    • Incidence Rate Ratio
    • Standardised Incidence Rate Ratio
  • Prevalence
    • Point Prevalence
    • Period Prevalence
• Patient level DrugUtilisation
  • New users characterisation
    • Characterisation
    • Large Scale Characteristics (Data Driven Characterisation)
  • Indication
    • Indication in the data base
    • Phenotype Driven indication
    • Data Driven indication
  • Drug use
    • How to calculate daily dose?
    • Summarise drug use
  • Treatments
    • Alternative treatments
    • Comedications
  • Discontinuation
    • As survival
    • Proportion of patients covered
  • Drug switching
    • Drug restart and drug switching
    • Treatment pathways
    • Multi-state
  • Dose escalation
    • Dose summary
    • Dose pathways
    • Dose states
• DrugUtilisation study
  • Final considerations
  • Examples of DrugUtilisation Studies
  • Other studies

library(DrugUtilisation)
library(omock)