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A heuristic approach based on multivariate linear regression was adopted to improve the estimation.
Using the corresponding atmospheric transparency index, three models based on multivariate linear regression, non-linear regression and generation of fuzzy inference systems, respectively, were designed.
The consensus scoring method was based on multivariate linear regression analysis (least squares method) which assigns coefficients to each of the 7 docking programs to maximize the fitness between a linear combination of the 7 docking scores multiplied by the coefficients (predicted values) and the observed experimental inhibition (observed values).
The forward-stepwise approach based on multivariate linear regression models is akin to a legal courtroom where two cases are built, weighed, and judged.
Although the conclusions drawn were based on multivariate linear regression with adjustment for possible confounding factors, further large-scale studies with long-term follow-up should be performed to confirm these findings of associations between glaucoma comprehension, depression and QoL.
The significance estimates are based on multivariate linear regression of the responses (glucose and xylose releases) obtained after the standardized enzymatic hydrolysis treatment of samples obtained from the two sets of experimental designs, that is, acidic and alkaline.
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Before-after studies based on multivariate generalised linear models make it possible to better control for the influence of differences between treated and comparison sites.
Data are based on multivariate generalized linear mixed models: full models for (a) nematode prevalence and (b) nematode infection intensity.
The influence of season, depth and latitude were analysed through multivariate analysis of variance using permutations and distance-based linear models and assemblages were characterised based on multivariate ordination and hierarchical classification methods.
After deriving wavelet spectrums using a discrete wavelet transform at pre-specified windows, we aim to monitor the system based on multivariate T2 chart for the parameters in the linear energy profiles.
These tests are based on multivariate generalizations of Cauchy priors on standardized effects, and have the desirable properties of being invariant with respect to linear transformations of measurement units.
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