Biases arising from using linked administrative data for research: A conceptual framework from registration to analysis.

Biases arising from using linked administrative data for research: A conceptual framework from registration to analysis.

Objectives Administrative data are primarily collected for operational processes and these processes can lead to sources of bias that may not be adequately considered by researchers. We provide a framework to help understand how biases might arise from using linked administrative data, and hopefull...

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Bibliographic Details
Main Authors: Richard Shaw, Katie Harron, Julia Pescarini, Elzo Júnior, Andressa Siroky, Desmond Campbell, Ruth Dundas, Maria Yury Ichihara, Mauricio Barreto, Vittal Katikireddi
Format: Article
Language:English
Published: Swansea University 2022-08-01
Series:International Journal of Population Data Science
Subjects:
Epidemiological biases
Linkage error
Data linkage
Record linkage
Conceptual framework
Online Access:https://ijpds.org/article/view/1800

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