Tracking down a Real Data Set(tm)
Read OriginalThe author describes the investigative process of tracking down the original source and context of a dataset on urinary tract infection risk, which is used in multiple R packages (elrm, logistf) and cited in academic papers. The article highlights challenges in data provenance, discrepancies between dataset versions, and the importance of accurate metadata for statistical analysis and reproducibility in scientific computing.
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