Optimizing large real‐world data analysis with parquet files in R: A step‐by‐step tutorial
Optimizing large real‐world data analysis with parquet files in R: A step‐by‐step tutorial
A. Abdelaziz,Kent A. Hanson,C. Gaber,Todd A. Lee
2023 · DOI: 10.1002/pds.5728
Pharmacoepidemiology and Drug Safety · 5 Citations
TLDR
An efficient approach is demonstrated that enables RWE researchers to use R to undertake RWE analysis tasks from cohort building to reporting.
Abstract
The use of open‐source programming languages can facilitate open science practices in real‐world evidence (RWE) studies. Real‐world studies often rely on using big data, which makes using such languages complicated. We demonstrate an efficient approach that enables RWE researchers to use R to undertake RWE analysis tasks from cohort building to reporting.