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Here we propose a multivariate score test as the extension of that proposed by Chen & Abecasis [21].
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For the kth study, we calculate the (multivariate) score statistic for testing the null hypothesis H0 that none of the d genetic variables have any effect on the trait of interest, and we also calculate the corresponding information matrix.
This highlights the utility of the multivariate score (4).
Lange et al. [37] has proposed a natural extension of the FBAT statistics which are based on the general likelihood-score test approach [38] to multivariate phenotypes based on GEE scores.
Ancestry-informative transcripts were identified using a rank-score-based multivariate association test, and ancestry-informative eQTL were identified using Fisher's exact test.
B. Multivariate testing of the omics score in the validation data.
A/B and multivariate tests can be run to squeeze out every possible increase in conversion rates.
This is because a test in multivariate regression tests whether the effect of the omics score is zero but does not assess how much accuracy can be gained through its inclusion in the model.
The independent associations of markers of glycemic control with nitrotyrosine and the inflammation score were tested in multivariate analyses.
Multivariate repeated measures test.
We employed bivariate and multivariate statistical tests.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com