9781612901657-1612901654-Implementing CDISC Using SAS: An End-to-End Guide

Implementing CDISC Using SAS: An End-to-End Guide

ISBN-13: 9781612901657
ISBN-10: 1612901654
Author: Chris Holland, Jack Shostak
Publication date: 2012
Publisher: SAS Institute
Format: Paperback 286 pages
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Book details

ISBN-13: 9781612901657
ISBN-10: 1612901654
Author: Chris Holland, Jack Shostak
Publication date: 2012
Publisher: SAS Institute
Format: Paperback 286 pages

Summary

Implementing CDISC Using SAS: An End-to-End Guide (ISBN-13: 9781612901657 and ISBN-10: 1612901654), written by authors Chris Holland, Jack Shostak, was published by SAS Institute in 2012. With an overall rating of 3.8 stars, it's a notable title among other Mathematical & Statistical (Software) books. You can easily purchase or rent Implementing CDISC Using SAS: An End-to-End Guide (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.82.

Description

For decades researchers and programmers have used SAS to analyze, summarize, and report clinical trial data. Now Chris Holland and Jack Shostak have written the first comprehensive book on applying clinical research data and metadata to the Clinical Data Interchange Standards Consortium (CDISC) standards.

Implementing CDISC Using SAS: An End-to-End Guide is an all-inclusive guide on how to implement and analyze Study Data Tabulation Model (SDTM) and Analysis Data Model (ADaM) data and prepare clinical trial data for regulatory submissions. Topics covered include creating and using metadata, developing conversion specifications, implementing and validating SDTM and ADaM data, determining solutions for legacy data conversions, and preparing data for regulatory submission. The book covers products such as Base SAS, SAS Clinical Data Integration, and the SAS Clinical Standards Toolkit, as well as JMP Clinical.

Anyone dealing with CDISC standards--including SAS or JMP programmers, statisticians, and data managers in the pharmaceutical, biotechnology, or medical device industries--will find the philosophical best practices and implementation examples in this book invaluable.

This book is part of the SAS Press program.

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