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Validating Clinical Trial Data Reporting with SAS | 
 enlarge | Authors: Carol I. Matthews, Brian C. Shilling
Publisher: SAS Press
Category: Book
List Price: $36.95
Buy New: $33.25
You Save: $3.70 (10%)
New (9) Used (2) from $29.99
Avg. Customer Rating:  1 reviews
Sales Rank: 96333
Media: Perfect Paperback
Number Of Items: 1
Pages: 228
Shipping Weight (lbs): 0.9
Dimensions (in): 8.9 x 7.4 x 0.5
ISBN: 1599941287
Dewey Decimal Number: 005
EAN: 9781599941288
ASIN: 1599941287
Publication Date: April 15, 2008
Availability: Usually ships in 24 hours
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| Editorial Reviews:
Product Description
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. 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. 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. 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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| Customer Reviews:
Sorely needed book! Big Pharma, please buy this book for your employees! June 11, 2008
As a programmer in the pharmaceutical community, I have been waiting years for a book like this. Validating data for clinical trials is crucial to not only portraying the data accurately but also to save money! I believe that pharmaceutical companies should purchase this book for each and every employee who works in or around clinical data.
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