Literature DB >> 3665453

Simplifying record linkage: software and strategy.

A Wajda1, L L Roos.   

Abstract

Although the methodology of record linkage is fairly well developed, there is a need for less expensive methods and simpler software to facilitate trying out different tactics to generate good linkages. The present work has built on a fourth generation language SAS (Statistical Analysis System) with accompanying macroprocessor, to develop a user-friendly and flexible system for both exact and probabilistic matching. The major features of the LINKS system are presented and illustrated using 1979-1984 information from the Manitoba Health Services Commission (MHSC) registry file with the Canadian Mortality Data Base. Initial runs with exact, then probabilistic, matching linked approximately 91% of the Vital Statistics records to corresponding MHSC records. Subsequent modification of parameters improved the linkage to 95%.

Mesh:

Year:  1987        PMID: 3665453     DOI: 10.1016/0010-4825(87)90010-2

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  7 in total

1.  Health services research: reporting on studies using secondary data sources.

Authors:  P Huston; C D Naylor
Journal:  CMAJ       Date:  1996-12-15       Impact factor: 8.262

2.  Development of a statewide trauma registry using multiple linked sources of data.

Authors:  D E Clark
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993

3.  Leukaemia, brain tumours and exposure to extremely low frequency magnetic fields: cohort study of Swiss railway employees.

Authors:  Martin Röösli; Manfred Lörtscher; Matthias Egger; Dominik Pfluger; Nadja Schreier; Emanuel Lörtscher; Peter Locher; Adrian Spoerri; Christoph Minder
Journal:  Occup Environ Med       Date:  2007-05-24       Impact factor: 4.402

4.  Detecting referral and selection bias by the anonymous linkage of practice, hospital and clinic data using Secure and Private Record Linkage (SAPREL): case study from the evaluation of the Improved Access to Psychological Therapy (IAPT) service.

Authors:  Simon de Lusignan; Rob Navarro; Tom Chan; Glenys Parry; Kim Dent-Brown; Tony Kendrick
Journal:  BMC Med Inform Decis Mak       Date:  2011-10-13       Impact factor: 2.796

5.  Estimating parameters for probabilistic linkage of privacy-preserved datasets.

Authors:  Adrian P Brown; Sean M Randall; Anna M Ferrante; James B Semmens; James H Boyd
Journal:  BMC Med Res Methodol       Date:  2017-07-10       Impact factor: 4.615

6.  The effect of data cleaning on record linkage quality.

Authors:  Sean M Randall; Anna M Ferrante; James H Boyd; James B Semmens
Journal:  BMC Med Inform Decis Mak       Date:  2013-06-05       Impact factor: 2.796

7.  Monitoring adverse outcomes of surgery using administrative data.

Authors:  L L Roos; N P Roos; S M Sharp
Journal:  Health Care Financ Rev       Date:  1987-12
  7 in total

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