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Performance of epi Forest. The power of epiForest is compared with that of BEAM [17], the stepwise logistic regression [11], and the χ2 test on 24 parameter settings of 3 disease models. 100 datasets, each containing 1,000 markers for 1,000 cases and 1,000 controls, are simulated for each parameter setting. The power is defined as the fraction of datasets in which all disease loci are identified at the significance level 0.05 after the Bonferroni correction.
