Validating clinical trial data kenny chesney and jennifer nettles dating
Data validation and error checking represent essential components in sound clinical trial management and report writing.
Data is central to the whole clinical development process.
The reader will appreciate the comprehensive review of important terminology such as CRF, e CTD, CDISC, ADa M, SDTM, SOP, SAP, and TLF.
Actual mock-up tables for Safety, Efficacy, and Laboratory data are provided, along with a QC Checklist and Statistical Analysis Plan.
The Data Warehousing Institute (DWI) estimates the cost of bad or ‘dirty' data exceeds 0 billion annually.
The actual cost of bad data may never be known, but it's safe to say the cost is significant enough to move up on your to-do list.
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