Robert Koch Institute

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Published March 28, 2024 | Version 2024-03-28
Dataset Open

Appendix - COVID-19 test fraud detection: Findings from a pilot study comparing conventional and statistical approaches

Authors/Creators

  • 1. Trier University
  • 2. Robert Koch-Institut
  • 3. City of Cologne
  • 4. Hasso Plattner Institute

Description

The methods and results of the publication "COVID-19 test fraud detection: Findings from a pilot study comparing conventional and statistical approaches" are described in more detail in this appendix. The R-syntax for the calculation is provided, as well as a pseudo data set with which the syntax can also be tested.

Files

[Documentation]_Appendix_COVID-19_test_fraud_detection.pdf

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Additional details

Related works

Is described by
Other: https://robert-koch-institut.github.io/Appendix_-_COVID-19_test_fraud_detection:_Findings_from_a_pilot_study_comparing_conventional_and_statistical_approaches (URL)
Is documented by
Report: https://github.com/robert-koch-institut/Appendix_COVID-19_test_fraud_detection/blob/main/Readme.md (URL)
Report: https://github.com/robert-koch-institut/Appendix_COVID-19_test_fraud_detection/blob/main/[Dokumentation]_Appendix_COVID-19_test_fraud_detection.pdf (URL)
Is supplement to
Dataset: https://github.com/robert-koch-institut/Appendix_COVID-19_test_fraud_detection (URL)

Dates

Collected
2024-03-28T08:54:01+01:00
Date when the Dataset was created