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By using a multivariate linear regression analysis, we corrected for these differences.
Odds ratio and 95% confidence intervals were calculated, by using a multivariate logistic regression analysis.
This paper seeks to overcome these problems by using a multivariate VAR model followed by the Toda and Yamamoto (1995) and Yamada and Toda (1998) method which is expected to improve the standard F-statistics in the causality test procedure.
Those thresholds showing differences at the level p < 0.1 in Table 2 are further evaluated for their association with the risk of ICU mortality by using a multivariate analysis (Table 3).
This paper presents a novel approach to statistical modeling of instantaneous solar irradiance by using a multivariate probability distribution a copula to describe the dependency between beam and diffuse indices.
For the primary (the proportions of patients with ≥ 1 MTE at ICU admission and at ICU discharge) and secondary outcomes (the proportions of patients with a pADE score of ≥ 0.01 at ICU admission and ICU discharge), adjusted odds ratios and 95% confidence intervals (95% CI) were calculated by using a multivariate logistic regression analysis.
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The MVH system segregates experimental peaks into three intensity classes and measures the point probability of matching a given combination of peaks by random chance using a multivariate hypergeometric distribution [17].
The system was optimised with respect to resolution of the chloride and the bromide peaks by statistical experimental design using a multivariate optimisation program.
Segmentations were generated by clustering those multi-variables using a multivariate classification method such as K-means cluster analysis [ 28].
However, once adjusted by APACHE II mortality risk, using a multivariate logistic regression analysis, with the exception of the overall mortality, there was no differences between the two periods in the three clinical areas studied.
Figure 2d shows a distillation of ChIP-seq chromatin epigenetic data (H3K4me1, 2 or 3; H3K36me3 H4K20me1H3K27me3; H3K36me3; H4K20me1; and CTCF binding) by Ernst et al. using a multivariate hidden Markov model (ENCODE/Broad Institute; [ 54]) to predict chromatin states (color-coded chromatin state segmentation maps).
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