<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants included in the tests; middle row: 100 variants; bottom row: 150 variants. The <i>x</i>-axis is the proportion of variance explained by causal SNPs, whereas the <i>y</i>-axis is the power.</p
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Factor levels: 50 studies, sample size 5,000 individuals per study, 100k independent SNPs, and he...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
<p>The figure shows the empirical power at . Top panel: clustered causal variants; bottom panel: non...
<p>The x-axis is the heritability and the y-axis is the estimated power. The colored dashed lines co...
<p>The figure shows the power comparison by <i>r<sub>isk</sub></i> (left column, given PAR = 0.3% an...
&<p>: The values are differences of power between the situation with none of the causal variants (i....
&<p>: The values are differences of power between the situation with none of the causal variants (i....
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Factor levels: 50 studies, sample size 5,000 individuals per study, 100k independent SNPs, and he...
<p>The figure shows the empirical power given the significance level of 0.05. Top row: 50 variants i...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>All causal variants have a deleterious effect. Each box corresponds to a different proportion of ...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>Each box corresponds to a different proportion of causal variants involved in the relationship be...
<p>The sample size is 1000. The between-factor correlation is 0.3 and the within-factor correlation ...
<p>The sample size is 1000. Covariance matrix of 10 traits is similar to that of 10 quantitative tra...
<p>The figure shows the empirical power at . Top panel: clustered causal variants; bottom panel: non...
<p>The x-axis is the heritability and the y-axis is the estimated power. The colored dashed lines co...
<p>The figure shows the power comparison by <i>r<sub>isk</sub></i> (left column, given PAR = 0.3% an...
&<p>: The values are differences of power between the situation with none of the causal variants (i....
&<p>: The values are differences of power between the situation with none of the causal variants (i....
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Powers were calculated for nominal α levels 0.05 (left) and 0.01(right) and for dichotomous trait...
<p>Factor levels: 50 studies, sample size 5,000 individuals per study, 100k independent SNPs, and he...
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