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Items: 1 to 20 of 100

1.

Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes.

Hejblum BP, Weber GM, Liao KP, Palmer NP, Churchill S, Shadick NA, Szolovits P, Murphy SN, Kohane IS, Cai T.

Sci Data. 2019 Jan 8;6:180298. doi: 10.1038/sdata.2018.298.

2.

A new computationally efficient algorithm for record linkage with field dependency and missing data imputation.

Ferguson J, Hannigan A, Stack A.

Int J Med Inform. 2018 Jan;109:70-75. doi: 10.1016/j.ijmedinf.2017.10.021. Epub 2017 Nov 6.

PMID:
29195708
3.

Extending the Fellegi-Sunter probabilistic record linkage method for approximate field comparators.

DuVall SL, Kerber RA, Thomas A.

J Biomed Inform. 2010 Feb;43(1):24-30. doi: 10.1016/j.jbi.2009.08.004. Epub 2009 Aug 13.

4.

The promise of record linkage for assessing the uptake of health services in resource constrained settings: a pilot study from South Africa.

Kabudula CW, Clark BD, Gómez-Olivé FX, Tollman S, Menken J, Reniers G.

BMC Med Res Methodol. 2014 May 24;14:71. doi: 10.1186/1471-2288-14-71.

5.

Estimating parameters for probabilistic linkage of privacy-preserved datasets.

Brown AP, Randall SM, Ferrante AM, Semmens JB, Boyd JH.

BMC Med Res Methodol. 2017 Jul 10;17(1):95. doi: 10.1186/s12874-017-0370-0.

6.

Evaluation of record linkage of two large administrative databases in a middle income country: stillbirths and notifications of dengue during pregnancy in Brazil.

Paixão ES, Harron K, Andrade K, Teixeira MG, Fiaccone RL, Costa MDCN, Rodrigues LC.

BMC Med Inform Decis Mak. 2017 Jul 17;17(1):108. doi: 10.1186/s12911-017-0506-5.

7.

Automated linkage of patient records from disparate sources.

Li X, Xu H, Shen C, Grannis S.

Stat Methods Med Res. 2018 Jan;27(1):172-184. doi: 10.1177/0962280215626180. Epub 2016 Jul 20.

PMID:
28034172
8.

Utilising identifier error variation in linkage of large administrative data sources.

Harron K, Hagger-Johnson G, Gilbert R, Goldstein H.

BMC Med Res Methodol. 2017 Feb 7;17(1):23. doi: 10.1186/s12874-017-0306-8.

9.

Creating longitudinal datasets and cleaning existing data identifiers in a cystic fibrosis registry using a novel Bayesian probabilistic approach from astronomy.

Hurley PD, Oliver S, Mehta A.

PLoS One. 2018 Jul 9;13(7):e0199815. doi: 10.1371/journal.pone.0199815. eCollection 2018.

10.

Validity of deterministic record linkage using multiple indirect personal identifiers: linking a large registry to claims data.

Setoguchi S, Zhu Y, Jalbert JJ, Williams LA, Chen CY.

Circ Cardiovasc Qual Outcomes. 2014 May;7(3):475-80. doi: 10.1161/CIRCOUTCOMES.113.000294. Epub 2014 Apr 22.

PMID:
24755909
11.

The SAIL databank: linking multiple health and social care datasets.

Lyons RA, Jones KH, John G, Brooks CJ, Verplancke JP, Ford DV, Brown G, Leake K.

BMC Med Inform Decis Mak. 2009 Jan 16;9:3. doi: 10.1186/1472-6947-9-3.

12.

Accuracy of Probabilistic Linkage Using the Enhanced Matching System for Public Health and Epidemiological Studies.

Aldridge RW, Shaji K, Hayward AC, Abubakar I.

PLoS One. 2015 Aug 24;10(8):e0136179. doi: 10.1371/journal.pone.0136179. eCollection 2015.

13.

Approach to record linkage of primary care data from Clinical Practice Research Datalink to other health-related patient data: overview and implications.

Padmanabhan S, Carty L, Cameron E, Ghosh RE, Williams R, Strongman H.

Eur J Epidemiol. 2019 Jan;34(1):91-99. doi: 10.1007/s10654-018-0442-4. Epub 2018 Sep 15.

14.

[Assessment of the discriminating power of identifiers for record linkage].

Quantin C, Binquet C, Bourquard K, Allaert FA, Gouyon B, Ferdynus C, Pattisina R, Harmenil G, Pequignot S, Gouyon JB.

Rev Epidemiol Sante Publique. 2004 Oct;52(5):431-40. French.

PMID:
15654313
15.

Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data.

Rentsch CT, Kabudula CW, Catlett J, Beckles D, Machemba R, Mtenga B, Masilela N, Michael D, Natalis R, Urassa M, Todd J, Zaba B, Reniers G.

Gates Open Res. 2017 Nov 6;1:8. doi: 10.12688/gatesopenres.12751.1.

16.

On the Accuracy and Scalability of Probabilistic Data Linkage Over the Brazilian 114 Million Cohort.

Pita R, Pinto C, Sena S, Fiaccone R, Amorim L, Reis S, Barreto ML, Denaxas S, Barreto ME.

IEEE J Biomed Health Inform. 2018 Mar;22(2):346-353. doi: 10.1109/JBHI.2018.2796941.

PMID:
29505402
17.

Privacy preserving probabilistic record linkage (P3RL): a novel method for linking existing health-related data and maintaining participant confidentiality.

Schmidlin K, Clough-Gorr KM, Spoerri A; SNC study group.

BMC Med Res Methodol. 2015 May 30;15:46. doi: 10.1186/s12874-015-0038-6.

18.

An empiric modification to the probabilistic record linkage algorithm using frequency-based weight scaling.

Zhu VJ, Overhage MJ, Egg J, Downs SM, Grannis SJ.

J Am Med Inform Assoc. 2009 Sep-Oct;16(5):738-45. doi: 10.1197/jamia.M3186. Epub 2009 Jun 30.

19.

Probabilistic linkage of large public health data files.

Jaro MA.

Stat Med. 1995 Mar 15-Apr 15;14(5-7):491-8.

PMID:
7792443
20.

Linkage of a clinical surgical registry with Medicare inpatient claims data using indirect identifiers.

Lawson EH, Ko CY, Louie R, Han L, Rapp M, Zingmond DS.

Surgery. 2013 Mar;153(3):423-30. doi: 10.1016/j.surg.2012.08.065. Epub 2012 Nov 2.

PMID:
23122901

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