Validating clinical trial data reporting

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Concepts and techniques are gently presented with hands-on examples and accompanying SAS code.The reader will appreciate the comprehensive review of important terminology such as CRF, e CTD, CDISC, ADa M, SDTM, SOP, SAP, and TLF.Often, what can be found is very complicated and not directly applicable to SAS programming in the pharmaceutical industry.

It could be something as simple as a run away script or learning how to better use E-utilities, for more efficient work such that your work does not impact the ability of other researchers to also use our site.This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration (FDA).The authors provide practical examples, explanations for why different techniques are helpful, and tips for avoiding errors in your output.For more information on the Bio Pharma Institute’s training programs, or to suggest a course, please complete the form located below.Alternatively, you may call toll free in the US: (888) 4-BIO-LRN, international callers can dial (201) 301-8370, or email [email protected] Pharma

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