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Minimum sample size calculation for radiomics-based binary outcome prediction models: Theoretical framework and practical example.
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Background And Purpose: Determining the appropriate sample size for developing robust radiomics-based binary outcome prediction models and identifying the maximum number of predictors safely allowable within a fixed dataset size remain critical yet challenging tasks. This study aims to propose and demonstrate a structured method for addressing these issues, enhancing methodological rigor and practicality in radiomics research.
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