Assessing Sternal Dimensions for Sex Classification: Insights from a Greek Computed Tomography-Based Study.

Although a formal a priori power analysis was not conducted, the consistently large effect sizes and highly significant differences ( p < 0.001) across most parameters support the adequacy of the sample size for exploratory modeling and reliable pattern detection.

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