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Statistical Analysis and Reporting
Database Design and Data Capture
Device Clinical Trials
Ph.D. level statisticians and highly skilled programmers are knowledgeable on how to understand and interpret data correctly and employ statistical methodologies and data analysis techniques to analyze data and test study objectives.
Statistical tasks include:
SAS is the popular and preferred statistical software application in both the pharmaceutical and medical device industries. SAS is a powerful tool for data analysis and is used to generate tables, listings, graphs (TLG) and other desired analyses in support of submissions to FDA or internal explorative objectives. FDA also uses SAS.
Our highly skilled, experienced, and efficient programmers deliver quality output (TLGs) for safety and efficacy analysis. We employ independent validation method where outputs generated by first programmer (Derived datasets, TLGs) are independently validated by a second programmer to assure quality of the results.