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Maximizing the magnitude of Strictly Standardized Mean Difference of a Linear Combination
The strictly standardized mean difference (SSMD) is an interpretable, unit-free effect size originally developed for quality control and hit selection in high-throughput screening and subsequently extended to effect-size assessment and error-rate control. Existing SSMD theory considers one variable
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