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1. Choosing-correct-statistical-methods-for-analyzing-clinical-trial-data Choosing-correct-statistical-methods-for-analyzing-clinical-trial-data Public

   The selection of SAS statistical procedures such as PROC ANOVA, PROC GLM, PROC TTEST, or PROC FREQ for clinical data analysis depends on the research objective, data type, study design, and the ass…

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2. creating-custom-functions-in-SAS creating-custom-functions-in-SAS Public

   "If you're already familiar with R or Python, you understand how custom functions help eliminate repetition and make code more modular and maintainable. PROC FCMP is SAS’s answer to this need, enab…

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3. SAS-Macro-Library SAS-Macro-Library Public

   A collection of reusable, production-ready SAS macros built to standardize and streamline common programming tasks.

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4. Multiple-Imputation-in-SAS Multiple-Imputation-in-SAS Public

   ## This repository provides a clear and practical introduction to Multiple Imputation in SAS, covering concepts, implementation using PROC MI and PROC MIANALYZE, and examples relevant to clinical a…

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5. Cardiovascular-Clinical-Explorer-Shiny-App Cardiovascular-Clinical-Explorer-Shiny-App Public

   # Cardiovascular Clinical Explorer ## Overview The **Cardiovascular Clinical Explorer** is an interactive R Shiny dashboard developed to explore cardiovascular risk factors using demographic, clini…

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6. clinical-reporting-in-python clinical-reporting-in-python Public

   This repository contains example programs showing how clinical trial outputs (TLFs) can be created in Python using rtflite, which inspired by r2rtf and is developed as part of the Pharmaverse ecosy…

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