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Outcome misclassification: Impact, usual practice in pharmacoepidemiology database studies and an online aid to correct biased estimates of risk ratio or cumulative incidence
Author(s) -
Hall Gillian C.,
Lanes Stephan,
Bollaerts Kaatje,
Zhou Xiaofeng,
Ferreira Germano,
Gini Rosa
Publication year - 2020
Publication title -
pharmacoepidemiology and drug safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.023
H-Index - 96
eISSN - 1099-1557
pISSN - 1053-8569
DOI - 10.1002/pds.5109
Subject(s) - pharmacoepidemiology , medicine , confidence interval , statistics , incidence (geometry) , publication bias , outcome (game theory) , cumulative incidence , risk assessment , econometrics , computer science , mathematics , transplantation , geometry , computer security , mathematical economics , medical prescription , pharmacology
It is well documented that outcome misclassification can bias a point estimate. We aimed to understand current practice in addressing this bias in pharmacoepidemiology database studies and to develop an open source application (app) from existing methodology to demonstrate the impact and mechanism of this bias on results.