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. 2005 Feb;169(2):1021–1031. doi: 10.1534/genetics.103.019752

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Copyright © 2005, Genetics Society of America

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Figure 3.— — Power estimation and comparison of the EM-LRT and ANOVA F-test when P(A → a) = 20%. The points plotted indicate the empirical proportion of tests (by use of a nominal level α = 0.05) that rejected the H₀ among 1000 simulated data sets. K = Δ/σ/. Plots on the left correspond to cases with 10% missing data. Plots on the right correspond to cases with 20% missing data. * indicates cases where P < 0.05, and ** indicates cases where P < 0.005. Here “P” refers to the P-value of Wilcoxon rank-sum tests comparing the power difference between the EM-LRT and the F-test. Solid diamonds denote the power of the EM-LRT; solid squares denote the power of the ANOVA F-test.

Inline graphic — Power estimation and comparison of the EM-LRT and ANOVA F-test when P(A → a) = 20%. The points plotted indicate the empirical proportion of tests (by use of a nominal level α = 0.05) that rejected the H₀ among 1000 simulated data sets. K = Δ/σ/. Plots on the left correspond to cases with 10% missing data. Plots on the right correspond to cases with 20% missing data. * indicates cases where P < 0.05, and ** indicates cases where P < 0.005. Here “P” refers to the P-value of Wilcoxon rank-sum tests comparing the power difference between the EM-LRT and the F-test. Solid diamonds denote the power of the EM-LRT; solid squares denote the power of the ANOVA F-test.