25 research outputs found

    Modeling of covariates on post-test achievement in language and arithmetic from [79].

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    <p>Modeling of covariates on post-test achievement in language and arithmetic from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0159649#pone.0159649.ref079" target="_blank">79</a>].</p

    Empirical analysis of the power of the correlation test.

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    <p>AUC values of ROC curves with their confidence interval computed for different <i>ρ</i>, number of subjects (<i>n</i>) and observations (<i>N</i>). Left panel for <i>N</i> = 600, <i>n</i> = 50, 60, 100. Right panel for <i>N</i> = 3000, <i>n</i> = 50, 100, 300.</p

    Empirical analysis of the asymptotic distribution of the LR statistic <i>S</i> under <i>H</i><sub>0</sub>, using longitudinal data sets (200 replications) with size <i>N</i> ∈ {50, 100, 150, 200, …, 2000} coming from <i>n</i> ∈ {10, 20, 30, …, 400} subjects.

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    <p>An asymptotic distribution of <i>Ο‡</i><sup>2</sup>(4) is assumed and the type I error (at log10 scale) is ploted against the total number of observations of the data set that has served to compute the LR statistic <i>S</i>. The blue curve is obtained by applying the empirical Bartlett correction to <i>S</i> and the red curve is obtained without correction. The horizontal dashed lines represent the significance levels of 5% and 10%, respectively.</p

    Empirical analysis of the asymptotic distribution of the LR statistic <i>S</i> under <i>H</i><sub>0</sub>, using 3000 (replications) simulated longitudinal data sets (under <i>H</i><sub>0</sub>) of size <i>N</i> = 15000 coming from <i>n</i> = 500 subjects.

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    <p>The minimum and the maximum of 1000 Γ— 3000 simulated realizations of <i>Ο‡</i><sup>2</sup>(4) are used to construct the red sheath. The blue curve represents the LR statistics related to the bivariate correlation test.</p

    Analysis of the power of the likelihood ratio test performed under EM-estimators.

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    <p>ROC curves with <i>ρ</i> ∈ {0.1, 0.2, 0.3}. <i>N</i> = 5000 observations, <i>n</i> = 300 subjects, 95% CI on AUC.</p
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