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Why Clinical Laboratorians Should Embrace the R Programming Language

Like many other industries, clinical laboratories are becoming more reliant on data analytics. Clinical laboratories generate, process, and store transactional data with high quality and efficiency. These data are required for patient care and quality assurance activities and increasingly are used for operational decisions. To analyze all these data, laboratories often rely on commercial spreadsheets or other specialized software applications. However, these programs can be functionally limited...
University Of Pennsylvania United States Hadley Wickham Roberth Lurie Shannon Haymond A Perfect Fit For Clinical Laboratory Data
Source: aacc.org

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