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This guide provides comprehensive information on the SAS 9.2 CDISC Procedure for importing and exporting XML documents that conform to CDISC standards, specifically the ODM and SDTM models. It includes
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How to fill out SAS 9.2 CDISC Procedure User’s Guide

01
Open the SAS 9.2 software on your computer.
02
Navigate to the CDISC Procedure User’s Guide document.
03
Read the introduction to understand the purpose of the guide.
04
Familiarize yourself with the key terms and concepts related to CDISC standards.
05
Follow the step-by-step instructions for using the CDISC procedures.
06
Pay attention to the examples provided that illustrate the procedures in practice.
07
Fill out any required sections of the guide with relevant data.
08
Review the troubleshooting section for common issues.
09
Ensure to save your work and refer back to the guide as needed.

Who needs SAS 9.2 CDISC Procedure User’s Guide?

01
Clinical data managers working with clinical trial data.
02
Statisticians involved in data analysis for clinical research.
03
Regulatory affairs professionals ensuring compliance with CDISC standards.
04
Researchers and analysts who prepare datasets for submission to regulatory agencies.
05
Anyone involved in the management or interpretation of clinical data adhering to CDISC methodologies.
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The SAS 9.2 CDISC Procedure User’s Guide is a document that provides instructions and guidelines on how to use the SAS software to create and manage Clinical Data Interchange Standards Consortium (CDISC) compliant datasets.
Researchers and clinical trial sponsors who need to analyze and report clinical data in compliance with CDISC standards are required to use the SAS 9.2 CDISC Procedure User’s Guide.
To fill out the SAS 9.2 CDISC Procedure User’s Guide, users should follow the step-by-step instructions provided in the guide, ensuring that they adhere to CDISC standards when entering data and using the SAS procedures.
The purpose of the SAS 9.2 CDISC Procedure User’s Guide is to assist users in generating CDISC-compliant datasets and to ensure that the data submitted for regulatory review meets industry standards.
The information that must be reported includes dataset structure, variable definitions, any necessary metadata, as well as any transformations or derivations of clinical trial data following CDISC standards.
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