Open AccessA comparison of methods to correct for misclassification bias from administrative database diagnostic codes
Author(s) -
Carl van Walraven
Publication year - 2017
Publication title -
international journal of epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.406
H-Index - 208
eISSN - 1464-3685
pISSN - 0300-5771
DOI - 10.1093/ije/dyx253
Subject(s) - statistics , gold standard (test) , imputation (statistics) , information bias , disease , diagnosis code , econometrics , population , medicine , selection bias , mathematics , missing data , environmental health
In administrative database research, misclassification bias can result from diagnostic codes that imperfectly represent the condition being studied. It is unclear how to correct for this bias.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom