5 research outputs found

    Risk estimates of Bayesian Threshold LASSO model (BTL), considering a posterior probability higher than 80%, and from logistic regression for the total population.

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    <p><sup>a</sup> Posterior mean of the OR, calculated from the BTL analyses Similar values for the median were obtained for each SNP.</p><p><sup>b</sup> It corresponds to , where .</p><p><sup>c</sup> OR obtained from the adjusted logistic regression.</p><p><sup>d</sup><i>p</i>-value of the trend obtained from the adjusted logistic regression.</p><p>SNPs also selected by AUC-RF are bold-faced.</p

    Venn diagrams showing the overlapping between the SNPs selected by Bayesian Threshold model (BTL) and AUC-Random Forest (AUC-RF).

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    <p>(A) Number of SNPs detected by each method in the total population. (B) Number of SNPs detected by each method in the non-smoker subset. (C) Number of common SNPs detected by BTL in the total population and non-smoker subset, with posterior probabilities of at least 80% and 75% of having an effect different from 0. (D) Number of SNPs detected by AUC-RF in both the total population and the non-smoker subset.</p
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