Validating clinical trial data reporting
Actual mock-up tables for Safety, Efficacy, and Laboratory data are provided, along with a QC Checklist and Statistical Analysis Plan.
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 Validation is a critical component to programming clinical trial analysis.Essential to effective validation is the programmer's understanding of the data with which they'll be working.This is not an indication of a security issue such as a virus or attack.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.If you don't understand how the data is arranged, the values that are reasonable for each variable, and the way the data should behave, you cannot ensure that the final result of your programming effort is complete or even appropriate.
Therefore, to be a successful programmer in the pharmaceutical industry, you need to understand validation requirements and to learn how to make the code do the bulk of the work so that your programs are efficient as well as accurate.
If you don't understand how the data is arranged, the values that are reasonable for each variable, and the way the data should behave, you cannot ensure that the final result of your progr Validation is a critical component to programming clinical trial analysis.
"A delightful introduction to the field of clinical data validation and reporting!
Topics addressed include: Validation and pharmaceutical industry overviews Documentation and maintenance requirements discussions General techniques to facilitate validation Data importing and exporting Common data types Reporting and statistics This book is designed for SAS programmers who are new to the pharmaceutical industry as well as for those seeking a good foundation for validation in the SAS programming arena.
Readers should have a working knowledge of Base SAS and a basic understanding of programming tasks in the pharmaceutical industry.
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