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flexrl-experiments

Stochastic EM Flexible Record Linkage

https://github.com/robachowyk/flexrl-experiments

Science Score: 54.0%

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    CITATION.cff file
    Found CITATION.cff file
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    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
    Links to: arxiv.org
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    Scientific vocabulary similarity
    Low similarity (4.5%) to scientific vocabulary
Last synced: 9 months ago · JSON representation ·

Repository

Stochastic EM Flexible Record Linkage

Basic Info
  • Host: GitHub
  • Owner: robachowyk
  • Language: R
  • Default Branch: main
  • Size: 23.2 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Citation

README.md

FlexRL

This package implements the Stochastic EM approach to Record Linkage described in 'https://arxiv.org/abs/2407.06835' (submitted) and developed by Kayané Robach and Michel Hof.

The main article and its supplementary material are available on https://arxiv.org/abs/2407.06835.

On this repository you can find the code to run the simulations and to run the real data applications on the NLTCS data and SHIW data.

For support requests, contact k dot c dot robach at amsterdamumc dot nl.

Owner

  • Login: robachowyk
  • Kind: user

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you are happy with FlexRL, please cite us using these metadata."
authors:
- family-names: "Robach"
  given-names: "Kayané"
  orcid: "https://orcid.org/0000-0002-5725-623X"
  affiliation: "Amsterdam Universitair Medische Centra"
  email: "k.c.robach@amsterdamumc.nl"
- family-names: "Hof"
  given-names: "Michel"
title: "FlexRL"
date-released: "2024-06-18"
repository-code: "https://github.com/robachowyk/FlexRL"
abstract: "A flexible model for Record Linkage. An StEM approach to determine common entities when combining 2 files. Includes modeling of dynamic Partially Identifying Variables (e.g. zipcode) that may evolve over time. Low memory footprint."

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