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This paper discusses the issue of incorrect representation of non-estimable confidence intervals in SAS due to floating-point arithmetic and proposes a strategy to resolve it.
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How to fill out PharmaSUG 2013 - Paper CC38

01
Start by downloading the PharmaSUG 2013 - Paper CC38 document from the official PharmaSUG website.
02
Read the introduction to understand the context and objectives of the paper.
03
Follow the structure outlined in the paper, including sections such as Introduction, Methods, Results, and Conclusion.
04
Use the provided examples to guide the formatting of your work.
05
Pay attention to the statistical methods discussed and ensure to apply them correctly in your analysis.
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Review any tables and figures to ensure accurate data representation.
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Conclude with a summary that highlights the key points discussed in the paper.
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Make sure to cite any references that were used in your analysis or discussion.

Who needs PharmaSUG 2013 - Paper CC38?

01
Statistical programmers looking to enhance their skills in SAS and programming for pharmaceutical research.
02
Data analysts working on clinical trials who need to understand best practices in reporting results.
03
Researchers in the pharmaceutical industry seeking insights into effective data presentation.
04
Students or academics studying biostatistics or clinical research methodology.
05
Companies looking to train their staff on effective practices in statistical reporting.
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PharmaSUG 2013 - Paper CC38 is a presentation given at the PharmaSUG 2013 conference, which focuses on statistical programming and data analysis in the pharmaceutical industry.
The paper is intended for professionals in the pharmaceutical industry involved in statistical programming, data management, and analytics, particularly those needing to adhere to regulatory submissions.
To fill out the paper, attendees or readers should refer to the guidelines provided during the session, which typically include methodologies for statistical programming, data interpretation, and reporting standards.
The purpose of the paper is to provide insights, methodologies, and best practices for statistical analysis and reporting in the pharmaceutical sector, enhancing data integrity and compliance.
The paper must report on statistical methodologies, results from analyses, insights on data interpretation, and recommendations for improving practices within the pharmaceutical industry.
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