Final remarks
Tidy R programming with the OMOP Common Data Model aims to (1) explain the main principles for working with databases from R and (2) how to apply this principles and use it with the OMOP CDM. Hopefully after reading this book you can understand how the dplyr and dbplyr packages interact with the databases, in particular with data formatted to the OMOP CDM; how the cdm_reference object can be used to extract identify your population of interests; and add the desired features to your dataset. Note in this book we always worked in relatively small synthetic data with an unrealistic performance, any analysis conducted with Real World Data and big databases will take more time, that’s why we would always recommend you to tests your code against synthetic data or subsets of your data to ensure good performance. Be careful, specially while writing custom code using join functions that can create some ugly SQL.
Tidy R in OMOP collection
This book is the first of the Tidy OMOP CDM collection. If you like it please take a look to the full collection:
2 Tidy R packages with the OMOP CDM under construction
3 DrugUtilisation in the OMOP CDM under construction
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