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Empirical Power of Logistic Mixed Model-Based SMMAT-B, SMMAT-S, SMMAT-O, SMMAT-E, and GLMM-MiST in Binary Trait Analysis of 2,000, 5,000, and 10,000 Samples
(A–C) 10% causal variants with 100% (A), 80% (B), or 50% (C) negative effects.
(D–F) 20% causal variants with 100% (D), 80% (E), or 50% (F) negative effects.
(G–I) 50% causal variants with 100% (G), 80% (H), or 50% (I) negative effects.
Effect sizes were simulated using the same parameter in each row, but different across rows.
