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This document discusses the automatic detection and identification of empty variables (variables with all missing values) in SDTM and ADaM datasets for FDA submission. It introduces a SAS macro that
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PharmaSUG 2012 - Paper CC03 is a specific paper presented at the PharmaSUG annual conference in 2012, focusing on topics related to statistical analysis and reporting in the pharmaceutical industry.
Individuals involved in the preparation and analysis of clinical trial data, including statisticians, programmers, and data analysts within the pharmaceutical industry, may be required to refer to or utilize the guidelines provided in PharmaSUG 2012 - Paper CC03.
To fill out PharmaSUG 2012 - Paper CC03, follow the guidelines and methodologies described in the paper, ensuring that all required data is accurately reported and conforms to the standards presented.
The purpose of PharmaSUG 2012 - Paper CC03 is to provide guidance and best practices for the analysis and reporting of clinical trial data, ensuring compliance with regulatory standards.
The information that must be reported includes statistical methodologies, data analysis results, compliance with regulatory requirements, and any other relevant findings that pertain to clinical trials.
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