Handling Missing Data in Clinical Trials: Strategies, Methods, and Regulatory Considerations
Handling Missing Data involves understanding the mechanisms that lead to missingness, choosing appropriate statistical techniques to minimize bias, and transparently reporting missing data handling strategies in clinical trial documentation. Proactive planning, careful analysis, and regulatory-aligned methodologies are essential to mitigate the impact of missing data on trial outcomes and conclusions.
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