Sentence examples for model used when from inspiring English sources

This could be circumvented by simulating with the same implicit solvent model used when evaluating the free energy.

Figure 3 shows the basic model used when testing hypotheses 4-5 about how experienced and witnessed incivility is related to negative outcomes (well-being, job satisfaction, turnover intentions, and sleeping problems).

The conclusion from this modeling was that low-dose corticosteroid treatment was associated with increased mortality regardless of the model used, when adjusted by relevant clinical and demographic factors.

The most important conclusion from modeling was not the actual value presented for mortality reduction, rather that DrotAA treatment consistently reduced the risk of mortality regardless of the model used, when adjusted by data imbalances and demographic factors.

The model is estimated as an ordered probit, an extension of the standard binary probit model, used when the dependent variable takes the form of a ranked and multiple discrete variable, considering alternatively the whole sample or each scientific area; in the first case, we also control for possible area-specific effects.

The stepwise drop in oxygen evolution at the maximum irradiance value in fig. 3a,b and fig. 5a,b should be considered as an artefact specific to the Light Pipette model used (when the value of oxygen saturation in the cuvette exceeds 200 %, unpublished results of a methodical study).

More detailed secondary analyses will be conducted specific to each health issue and non-parametric models used when necessary.

Following Pinheiro and Bates (2000), maximum likelihood fitted models were used when models were compared, whereas a restricted maximum likelihood fitted model was used for parameter estimation.

Following Pinheiro and Bates (2000), maximum likelihood (ML) fitted models were used when these models were compared, whereas models were fitted using the restricted maximum likelihood (REML) when we extracted parameter estimates (see main text).

Random-effects model was used when heterogeneity exists among studies, while fixed-effects model was used when there was no statistical heterogeneity.

Fixed-effects model was used when heterogeneity was not observed; otherwise, random-effects model was used.