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The marker term was not significant, and its presence made almost no change in the other model coefficients (data not shown), which we interpret to mean that the data set is too small to examine this hypothesis in detail.
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Given a title containing N terms {t 1, t 2,... t N}, if the position of the most left marker term is q, then {t 1,...t q-1} is segmented as ingredient I, and {t q...t N} is as route R. The 'How should this medication be used?' Section and 'About your treatment' Section include the detailed descriptions on drug physical forms and its usage.
Therefore, the inclusion of the interaction with time of the treatment-by-marker interaction term is justified and explains the lack of evidence for treatment-by-marker interaction with extended follow-up without the use of a time-dependent model.
SBERIA first selects markers with relatively strong correlation signals, and then a weighted sum of the selected marker interaction terms is computed, where the weight corresponds to the magnitude and direction of the correlations among the markers.
The position of the marker, termed I, is identified simply by picking the largest peak of r ^ 3 i in each interval: I = arg max i r ^ 3 i i start ≤ i < i start + 8192, (13).
Objective: This study was undertaken to determine whether intrapartum fevers at term are associated with markers of acute inflammation in maternal, fetal, and placental compartments.
GO-terms positioned either upstream or downstream of the marker term "Immune response" were distributed along the liver, liver invasion and tumor invasion compartments in both species.
The first term is the REML-log-likelihood for the phenotypes conditional on the observed marker genotypes, whereas the second term is the log-likelihood for the observed marker genotypes.
The first term is the REML-log-likelihood for the phenotypes conditional on the observed marker genotypes and the second term is the log-likelihood for the observed marker genotypes.
The P values of type III sum of squares based on F-tests for the marker by environment interaction terms were obtained for each marker.
To test for potential modifiers of the relationship between coffee consumption and markers of liver injury, interaction terms were tested for age, sex, ethnicity, BMI and SI, and were judged to be statistically significant if the p value was <0.05.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com