Data Linkage Evaluation
Data Linkage Evaluation is a methodological framework within surveillance evaluation that systematically assesses the accuracy, completeness, and reliability of linked datasets to ensure valid epidemiological inference.
101
Publications
4.2K
Citations
595
Authors
270
Institutions
Publications per year
2017–2026
46
Parents
101
Kerina Jones, David Ford, Chris Jones et al. · Journal of Biomedical Informatics · 2014 · 229 citations · Full text
Automated Linking of Historical Data
Ran Abramitzky, Leah Platt Boustan, James Feigenbaum et al. · Journal of Economic Literature · 2021 · 191 citations · Full text
The California Automated Mortality Linkage System (CAMLIS).
Ma Arellano, G. Petersen, D B Petitti et al. · American Journal of Public Health · 1984 · 156 citations · Full text
1–5 of 101
595
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Intensive Care National Audit & Research Centre, United Kingdom
3 publications · 178 citations
3
h-index
1–5 of 595
270
University College London
London, United Kingdom
9 h-index
32 publications
1.7K citations

Monash University
Melbourne, Australia
9 h-index
29 publications
783 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
8 h-index
26 publications
1.4K citations

UNSW Sydney
Sydney, Australia
6 h-index
15 publications
447 citations
Government of Western Australia Department of Health
East Perth, Australia
5 h-index
6 publications
226 citations

The University of Melbourne
Melbourne, Australia
5 h-index
12 publications
262 citations

The University of Western Australia
Perth, Australia
5 h-index
20 publications
1.6K citations

University of British Columbia
Vancouver, Canada
4 h-index
18 publications
560 citations
1–8 of 270
Repository · 7 publications · 230 citations
7
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6 publications · 299 citations
6
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4 publications · 71 citations
4
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IJPDS · 3 publications · 88 citations
3
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3 publications · 175 citations
3
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