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The dependence of comfort judgement on various meteorological factors was studied by using multivariate regression analysis.
Seven predicted properties (normal density, superior heating value, Wobbe index and the concentrations of methane, ethane, carbon dioxide and nitrogen) are calibrated against sensor signals by using multivariate regression, in particular partial least squares.
Two mean shapes were defined along each discriminant axes, associated respectively to negative and positive canonical scores, by using multivariate regression of the tangent coordinates upon the canonical score [57].
Size-adjustment of BMC was achieved by using multivariate regression with the variables transformed to natural logarithms (9).
A dissimilar impact of HOMA-IR on proinsulin metabolites in patients and controls was established, adding an interaction term, by using multivariate regression analysis.
By using multivariate regression models, we found that Shh and Noggin could affect motor performance and that these proteins could be associated with both TDP-43 and Numb.
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The importance of biosynthetic cost in explaining gene expression at the protein level was also assessed using multivariate regression followed by variable removal using the same strategy as for transcript levels above.
Yamauchi et al (2012b) analysed the frequencies of molecular changes in nine subsites along the large intestine by using multivariate logistic regression and linear regression analysis, and found gradual increases in the frequencies of CIMP-H, MSI-H and BRAF mutations from the rectum to the ascending colon.
In this work, we propose a method to build a structure function for a continuum system by using multivariate nonparametric regression techniques, in which certain analytical restrictions on the variable of interest must be taken into account.
A secondary analysis was performed by using multivariate Cox regression analysis to estimate the hazard function.
Direct Adjusted Median Overall Survival (MOS) was calculated by using Multivariate Cox regression.
More suggestions(12)
by using multivariate imputation
by using generalized regression
by using multivariable regression
by using partial regression
by using multivariate modeling
by using multivariate analysis
by using multivariate model
by using univariate regression
by using multivariate linear
by using logistic regression
by using nonlinear regression
by using multiple regression
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