Data quality evaluation for observational multiple sclerosis registries

Volume: 23, Issue: 5, Pages: 647 - 655
Published: Apr 1, 2017
Abstract
Objective:Objective and reproducible evaluation of data quality is of paramount importance for studies of ‘real-world’ observational data. Here, we summarise a standardised data quality, density and generalisability process implemented by MSBase, a global multiple sclerosis (MS) cohort study.Methods:Error rate, data density score and generalisability score were developed using all 35,869 patients enrolled in MSBase as of November 2015. The data...
Paper Details
Title
Data quality evaluation for observational multiple sclerosis registries
Published Date
Apr 1, 2017
Volume
23
Issue
5
Pages
647 - 655
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