Error rates in a clinical data repository: lessons from the transition to electronic data transfer - descriptive study

Matthew K Hong, Henry H I Yao, John S Pedersen, Justin S Peters, Anthony J Costello, Declan Murphy, Christopher M Hovens, Niall M Corcoran

Research output: Contribution to journalArticleResearchpeer-review

41 Citations (Scopus)


Data errors are a well-documented part of clinical datasets as is their potential to confound downstream analysis. In this study, we explore the reliability of manually transcribed data across different pathology fields in a prostate cancer database and also measure error rates attributable to the source data.
Original languageEnglish
Pages (from-to)1 - 8
Number of pages8
JournalThe BMJ
Issue number5 (Art. ID: e002406
Publication statusPublished - 2013

Cite this