Integrating Real World Data and Advanced Statistical Modeling in Clinical Programming to Enhance Predictive Analytics for Drug Development
Keywords:
Real-World Data, Clinical Programming, Predictive Analytics, Drug Development, Statistical Modeling, Machine Learning, Data IntegrationAbstract
In recent years, the integration of real-world data (RWD) with advanced statistical modeling has transformed clinical programming, enabling more robust predictive analytics in drug development. This paper explores how RWD—comprising electronic health records (EHRs), insurance claims, patient registries, and wearable device data—can be leveraged alongside cutting-edge statistical techniques to enhance decision-making, optimize trial design, and improve patient outcomes. Through an extensive review of literature and case studies, we analyze the effectiveness of these approaches and present insights on their future impact.
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Copyright (c) 2024 Kaushik Nakano (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
