Sentence examples for modelling analyses which from inspiring English sources

This experimental finding is consistent with the bioinformatics and homology modelling analyses which showed that both EF-hands in SmTAL3 deviated from the consensus (Fig. 1).

To address this problem the scientific community needs a certain critical mass of 'off-the-shelf' algorithms to perform model analyses which are available to the modeling community.

Multinomial model analyses, which allow the distinction between deficits in recognizing information, remembering its source, and response biases, were applied to the data.

This notion is corroborated by the Bayesian strict-clock model analyses, which showed that the evolution of the Vtg genes is not clock-like.

We also use univariate and multivariate Cox model analyses which were performed to determine the correlation of miR-20b expression with overall survival of HCC patients.

Distributions of insulin, proinsulin, triglyceride, CRP, glucose and low-density lipoprotein were right skewed, and so were log transformed for all regression model analyses, which ensured that the residuals were approximately normally distributed.

The structural equation model analyses, which included comparing the male and female groups, resulted in the model depicted in Fig.  3 and had the following characteristics: n = 383, df = 3, Chi square = 1.095, p = 0.778 (>0.05) i.e. non-significant (Chi-square goodness of fit), so this model was a good model.

> -wrap-foot> *  p < 0.05; **  p < 0.01; ***  p < 0.001; Ŧ  p = 0.059 We used the same model for the structural equation model analyses which included comparing the qualitative and weighted lottery selection subgroups and the model (See Fig.  3) had the following characteristics: n = 383, Chi square = 4.709, df = 3, p = 0.194 (>0.50), therefore non-significant (Chi-square goodness of fit).

The paper reports the latest neutronic modeling and analyses which have been performed for the ITER reference front steering launcher design.

These associations were attenuated compared with our model 1 analyses, which were adjusted for a subset of potential confounders.

All analyses were performed using R (Version 2.4.0, R Foundation, 2006), with the exception of the Generalised Linear Model (GLM) analyses, which were performed using SAS® Version 9.1.