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Paper ID:10.55041/IJSREM22889

SAS Programming in Clinical Research for Drug Development

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22889

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SRD

Subrahmanya Rajeev Dhulipala

VD

V Dhanush

DGK

Dr. Geetha K.S.

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Abstract

In this paper, a study data tabulation in the demo- graphics domain from the vast amount of clinical trial data in accordance to the SDTM Specification sheet provided by CDISC has been generated. SDTM specifies a standard format for study data tabulations that must be submitted to a regulatory body like the Food & Drug Administration (FDA) for drug review. Statistical Analysis Software (SAS) programming was used to extract demographic data from a clinical trial that was double- blinded and randomly assigned. It involves creating datasets for the demographics domain using SAS programming in-line with the SDTM specification. Tables, Lists, and Figures (TLFs) using SAS programming in relation to the study variables were also created. The following data can be used for analyzing a drug with a potential of diabetes prevention. It is used for determining the safety & dosage range, the toxicology and side effects of the investigational drug. These generated datasets& TLFs can be used as a part of drug review for the regulatory agencies.

KEYWORDS

Study Data Tabulation Model (SDTM) Clinical Data Interchange Standards Consortium (CDISC) Statistical Analysis Software (SAS) Tables Lists and Figures (TLFs) Food & Drug Administration (FDA) .

Cite This Article

Subrahmanya Rajeev Dhulipala, V Dhanush, Dr. Geetha K.S., "SAS Programming in Clinical Research for Drug Development," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM22889

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Publication Date

5/5/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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