Abstract
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 language | English |
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Pages (from-to) | 1 - 8 |
Number of pages | 8 |
Journal | BMJ |
Volume | 3 |
Issue number | 5 (Art. ID: e002406 |
DOIs | |
Publication status | Published - 2013 |