Clinical Data Quality Checks for CDISC Compliance Using SAS
Chapman & Hall/CRC (Verlag)
978-0-367-36277-5 (ISBN)
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This book helps you create a system of SDTM and ADaM checks that can be tracked for continuous improvement. How often have you encountered issues such as missing required variables, duplicate records, invalid derived variables and invalid sequence of two dates? With the SAS programming techniques introduced in this book, you can start to monitor these and more complex data and CDISC compliance issues. With increased standardization in SDTM and ADaM specifications and data values, codelist dictionaries can be created for better organization, planning and maintenance. This book includes a SAS program to create excel files containing unique values from all SDTM and ADaM variables as columns. In addition, another SAS program compares SDTM and ADaM codelist dictionaries with codelists from define.xml specifications. Having tools to automate this process greatly saves time from doing it manually.
Features
SDTMs and ADaMs Vitals
SDTMs and ADaMs Data
CDISC Specifications Compliance
CDISC Data Compliance
Protocol Compliance
Codelist Dictionary Compliance
Sunil Gupta is an international speaker, best-selling SAS author, and a global corporate trainer. Sunil is a Principal SAS/CDISC Consultant. Most recently, he taught both of his CDISC online classes with the University of California at San Diego and SAS Institute India. New in 2019, Sunil is developing a new class on Data Science using SAS class. In 2011, Sunil launched his unique SAS resource blog, SASSavvy.com, for smarter SAS searches. Currently, SAS Savvy’s membership consists mostly of SAS programmers, university students and pharmaceutical corporate accounts
Overview of Data Quality and Compliance Checks
SDTMs and ADaMs Vital Checks
SDTMs and ADaMs Data Values Check
CDISC Specification Compliance Checks
CDISC Data Compliance Checks
Protocol Compliance Checks
Codelist Dictionary Compliance Checks
Appendix
Erscheinungsdatum | 07.10.2019 |
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Zusatzinfo | 5 Tables, black and white; 89 Illustrations, black and white |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 540 g |
Themenwelt | Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra |
Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie | |
ISBN-10 | 0-367-36277-5 / 0367362775 |
ISBN-13 | 978-0-367-36277-5 / 9780367362775 |
Zustand | Neuware |
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