We love big numbers—in most cases!

With an evidence-based approach, EJHP is aware of a good deal of evidence that the larger the study, the more reliable the results.1 For that reason we will often reject small studies, especially if they are not randomised. Recently we have been receiving submissions analysing large adverse event databases such as (and mainly) FAERS (FDA Adverse Event Reporting System).2 FAERS is the US Food and Drug Administration (FDA)’s central database of adverse drug event reports, used to monitor the safety of all approved medicines and therapeutic biologics. It is one of the world’s largest pharmacovigilance datasets and underpins much of … Correspondence to Professor Philip Wiffen; pwiffen{at}oxfordsrs.org.uk

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Publication Details

Journal
European Journal of Hospital Pharmacy
Published
2026-09-29
DOI
https://doi.org/10.1136/ejhpharm-2026-005380
Primary Topic
Mathematics Education and Programs
Type
article
Field-Weighted Citation Impact
0.00
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article

We love big numbers—in most cases!

Philip J Wiffen
European Journal of Hospital Pharmacy
Mathematics Education and Programs
article

We love big numbers—in most cases!

Philip J Wiffen
article en

Abstract

With an evidence-based approach, EJHP is aware of a good deal of evidence that the larger the study, the more reliable the results.1 For that reason we will often reject small studies, especially if they are not randomised. Recently we have been receiving submissions analysing large adverse event databases such as (and mainly) FAERS (FDA Adverse Event Reporting System).2 FAERS is the US Food and Drug Administration (FDA)’s central database of adverse drug event reports, used to monitor the safety of all approved medicines and therapeutic biologics. It is one of the world’s largest pharmacovigilance datasets and underpins much of … Correspondence to Professor Philip Wiffen; pwiffen{at}oxfordsrs.org.uk

European Journal of Hospital Pharmacy
Thame Community Hospital (GB)
Openalex Percentile: Top 13%
Mathematics Education and Programs
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