External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research

External Validation of an Algorithm to Identify Patients with High Data-Completeness in Electronic Health Records for Comparative Effectiveness Research

Kueiyu Joshua Lin,1,2 Gary E Rosenthal,3 Shawn N Murphy,4,5 Kenneth D Mandl,6 Yinzhu Jin,1 Robert J Glynn,1 Sebastian Schneeweiss1 1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; 2Depart...

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Bibliographic Details
Main Authors: Lin KJ, Rosenthal GE, Murphy SN, Mandl KD, Jin Y, Glynn RJ, Schneeweiss S
Format: Article
Language:English
Published: Dove Medical Press 2020-02-01
Series:Clinical Epidemiology
Subjects:
electronic medical records
data linkage
comparative effectiveness research
information bias
continuity
external validation
Online Access:https://www.dovepress.com/external-validation-of-an-algorithm-to-identify-patients-with-high-dat-peer-reviewed-article-CLEP

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https://www.dovepress.com/external-validation-of-an-algorithm-to-identify-patients-with-high-dat-peer-reviewed-article-CLEP

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