Sentence examples for baseline model in which from inspiring English sources

The CFI compares the fit of the specified model to the fit of a baseline model in which all items are assumed to be uncorrelated with each other.

The CFI, GFI, and NNFI measure how much better the model fits as compared to a baseline model in which the observed items are assumed to be uncorrelated.

We begin by fitting baseline models in which all the non-emotional predictors mentioned above are taken into account, then add specific terms embedding different assumptions about the role of valence, pitting them against each other to test the theoretical accounts of emotion effects in lexical processing.

Failure to do so biases the estimation of duration dependence upwards, as indicated by the steeper curve, which depicts the average hazard for our baseline model in that case (and which now falls by 68%, from 18.3 to 5.8%, during the first year).

The second model, 1.1, is another baseline model which, in addition to the past voting results, contains all theoretically relevant parameters except those relating to Wikipedia.

We compared the baseline model to a model in which annual survival rate differed between periods (first six years after habituation vs. rest of time series).

To test which scale scores differed between which groups, we used the same Chi-square difference testing procedure with the unconstrained model as the baseline model and a model in which we systematically constrained the scores on each syndrome scale, the broadband scales and the Total Problems score between two groups.

The point at which the maximum difference in specificity was achieved increased with the strength of the baseline model, at which point the decrease in sensitivity with the addition of the new predictor was at its greatest.

The CFI is based on a baseline comparison with a null model in which no regions are connected (a CFI of > 0.9 is considered to be acceptable).

Between-group mean differences and 95%% confidence intervals will be estimated with a linear model in which baseline scores are entered as the only covariate [ 50, 51].

Self-reported quality of life, assessed with EORTC QLQ C30 and HN35, was analysed through a repeated measures ANOVA model, in which baseline QOL status was incorporated as a covariate, as well as age, gender, tumour location, tumour stage, initiated treatment and supplement intake as potential confounders.