Back to search

Article

Large-scale empirical identification of candidate comparators for pharmacoepidemiological studies

2023-02-17

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objectives</h4> The new user cohort design has emerged as a best practice for the estimation of drug effects from observational data. However, despite its advantages, this design requires the selection and evaluation of comparators for appropriateness, a process which can be challenging. In this paper, we introduce an empirical approach to rank candidate comparators in terms of their similari...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
dcb0b9c8-8eb0-5409-852f-5afe6ae753c0
DOI
10.1101/2023.02.14.23285755
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Large-scale empirical identification of candidate comparators for pharmacoepidemiological studiesDOI 10.1101/2023.02.14.23285755
Select a neighboring publication to make it the new centre.