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However, in a multivariate linear regression model, group affiliation only predicted iPTH concentration (p < 0.05).
In a multivariate linear regression model S1P, HDL and RBC were significantly associated with SOFA score (P < 0.001).
In a multivariate linear regression model analysis, Raw of experimental group tended to become closer to its personal target over time (−0.031 point of relative deviation every day).
Then, in order to analyze the effect of each factor in each product separately, we enter them in a multivariate linear model.
In this paper we consider the problem of estimating the matrix of regression coefficients in a multivariate linear regression model in which the design matrix is near singular.
In a multivariate linear regression analysis, age (p = 0.03) and TB contact (p<0.0001), but not BCG scar (p = 0.86) or origin from a country with high TB prevalence (p = 0.30), were significantly correlated with the magnitude of TST induration.
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In subsequent analyses a multivariate linear model was built using LOS as a dependent variable and the non-stay related variables as independent variables.
After correction for differences in basic demographics with a multivariate linear regression analysis, the skin to skin operating time was a significant 18 minutes shorter in robot assisted TLH compared to conventional TLH (robot assisted TLH 92m, conventional TLH 110m, p0.001).
We describe how FA can be used to model genetic effects in the context of a multivariate linear mixed model.
In addition to these analyses, a multivariate linear regression model was built to evaluate which variables contributed the most to high or low IHLOC when considering them all together.
In order to determine which factor, copy number or promoter methylation, is more significant in the determination of transgene expression, a multivariate linear regression model was employed.
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