6 research outputs found

    Concordance between power in logistic regression and slope of power curve given by equation 6.

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    <p>Proportion of scenarios in which observed change in power agreed with predicted slope of chi-square power. The observed change in power is calculated as the sign of the difference of the median likelihood ratio statistic at γca  = 0 and at γca  = 1. 160 parameter values were considered, a subset of the parameter space described in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0063481#pone-0063481-t001" target="_blank">table 1</a>. 500 realizations at γca  = 0 and at γca  = 1 of each combination were undertaken to find the median likelihood ratio statistics.</p

    Empirical power and asymptotic power.

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    <p>Comparison of empirical power (E) to asymptotic (A) for various <i>γ<sub>ca</sub></i> and <i>R</i> = 1 (solid line), <i>R</i> = 2 (dashed), <i>R</i> = 4 (dotted) at two loci that nominally replicate in the gold standard subset. Power is shown as 20<sup>th</sup> percentile of X<sup>2</sup> statistics over 1000 bootstrapped replicates for empirical graphs or as 20<sup>th</sup> percentile of the chi squared distribution for asymptotic graphs, with non-centrality determined from genotypic disease model given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0063481#pone-0063481-t002" target="_blank">table 2</a>.</p
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