Open AccessBiases arising from using linked administrative data for research: A conceptual framework from registration to analysis.
Author(s) -
R.J. Shaw,
Katie Harron,
Júlia Moreira Pescarini,
Elzo Pereira Pinto Júnior,
Andressa Siroky,
Desmond Campbell,
Ruth Dundas,
Maria Yury Ichihara,
Marcos Barreto,
Vittal Katikireddi
Publication year - 2022
Publication title -
international journal of population data science
Language(s) - English
Resource type - Journals
ISSN - 2399-4908
DOI - 10.23889/ijpds.v7i3.1800
Subject(s) - linkage (software) , data science , computer science , metadata , record linkage , coding (social sciences) , conceptual framework , identification (biology) , process (computing) , population , linked data , matching (statistics) , data mining , information retrieval , world wide web , statistics , sociology , biochemistry , chemistry , demography , mathematics , social science , botany , semantic web , biology , gene , operating system