Published May 22, 2024
| Version 2024-05-22
Dataset
Open
Appendix - Potential COVID-19 test fraud detection: Findings from a pilot study comparing conventional and statistical approaches
Authors/Creators
- 1. Trier University
-
2.
Robert Koch Institute
- 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_Potential_COVID-19_test_fraud_detection (URL)
- Is documented by
- Report: https://github.com/robert-koch-institut/Appendix_Potential_COVID-19_test_fraud_detection/blob/main/Readme.md (URL)
- Report: https://github.com/robert-koch-institut/Appendix_Potential_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_Potential_COVID-19_test_fraud_detection (URL)
Dates
- Collected
-
2024-03-28T08:54:01+01:00Date when the Dataset was created