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The Importance of Agile/Scrum Methodology in Enhancing Statistical Programming and Analysis Efficiency in the Pharmaceutical Industry and Clinical Research

thoughts
The pharmaceutical industry is continuously evolving, driven by the need for faster drug development, stringent regulatory demands, and the push for innovation in medical…
Sep 15, 2024
Hamza Rahal

Leveraging Artificial Intelligence and Generative AI in Clinical Programming

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Artificial Intelligence (AI) and Generative AI are revolutionizing various industries, including healthcare and clinical research. In clinical programming, where the…
Aug 17, 2024
Hamza Rahal

Essential Coding Best Practices for Clinical R programmer

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Almost of big pharmaceutical companies and CROs typically have many programmers, data managers and statisticians producing trial analysis and reporting programs. Each of…
Aug 15, 2024
Hamza Rahal

Quality Assurance (QA) Importance and Standards in Clinical Statistical Programming

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In clinical research, Quality Assurance (QA) is an essential component that ensures the accuracy, consistency, and reliability of data used for decision-making in drug…
Jul 29, 2024
Hamza Rahal

Key Benefits of R Shiny in Clinical Programming and Pharma industry

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R Shiny, a framework for building interactive web applications with R, has become an indispensable tool for clinical programmers, researchers, and pharmaceutical companies.…
Jul 10, 2024
Hamza Rahal

R and SAS: A Synergistic Approach for Clinical Programming

thoughts
In the evolving landscape of clinical programming, the debate between R and SAS continues to spark discussions among statistical programmers. However, instead of viewing…
Jul 3, 2024
Hamza Rahal
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