2024
DOI: 10.20944/preprints202403.0012.v1
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Flexible Techniques to Detect Typical Hidden Errors in Large Longitudinal Datasets

Renato Bruni,
Cinzia Daraio,
Simone Di Leo

Abstract: The increasing availability of longitudinal data (repeated numerical observations of same units at different times) requires the development of flexible techniques to automatically detect common errors in such data. Besides obvious and easily identifiable cases, such as missing or out-of-range data, large longitudinal dataset often present problems not easily traceable by the techniques used for generic datasets. In particular, elusive and baffling problems are i) inversion of one or more values from one unit … Show more

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