Assumptions made when preparing drug exposure data for analysis have an impact on results: An unreported step in pharmacoepidemiology studies.

Stephen R Pye Thérèse Sheppard Rebecca M Joseph Mark LuntNadyne GirardJennifer S HaasDavid W BatesDavid L BuckeridgeTjeerd Pieter van StaaRobyn TamblynWilliam Gregory Dixon

Published in: Pharmacoepidemiology and drug safety (2018)

The framework offers a transparent and efficient way to perform and report drug data preparation steps. Assumptions made during data preparation can impact the results of analyses. Improving transparency regarding drug data preparation would increase the repeatability, reproducibility, and comparability of published results.

Keyphrases

electronic health record
big data
randomized controlled trial
molecularly imprinted
systematic review
emergency department
adverse drug
drug induced
deep learning