Literature DB >> 27868375

Understanding the origins of record linkage errors and how they affect research outcomes.

James H Boyd1, Anna M Ferrante1, Katie Irvine2, Michael Smith2, Elizabeth Moore2, Adrian Brown1, Sean M Randall1.   

Abstract

Mesh：

Year:  2016        PMID： 27868375     DOI： 10.1111/1753-6405.12597

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN： 1326-0200            Impact factor:   2.939


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  4 in total

1.  Impact of linkage quality on inferences drawn from analyses using data with high rates of linkage errors in rural Tanzania.

Authors:  Christopher T Rentsch; Katie Harron; Mark Urassa; Jim Todd; Georges Reniers; Basia Zaba
Journal:  BMC Med Res Methodol       Date:  2018-12-10       Impact factor: 4.615

2.  Sociodemographic differences in linkage error: an examination of four large-scale datasets.

Authors:  Sean Randall; Adrian Brown; James Boyd; Rainer Schnell; Christian Borgs; Anna Ferrante
Journal:  BMC Health Serv Res       Date:  2018-09-03       Impact factor: 2.655

3.  A blinded evaluation of privacy preserving record linkage with Bloom filters.

Authors:  Sean Randall; Helen Wichmann; Adrian Brown; James Boyd; Tom Eitelhuber; Alexandra Merchant; Anna Ferrante
Journal:  BMC Med Res Methodol       Date:  2022-01-16       Impact factor: 4.615

4.  A guide to evaluating linkage quality for the analysis of linked data.

Authors:  Katie L Harron; James C Doidge; Hannah E Knight; Ruth E Gilbert; Harvey Goldstein; David A Cromwell; Jan H van der Meulen
Journal:  Int J Epidemiol       Date:  2017-10-01       Impact factor: 7.196
  4 in total

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