Sentence examples for modelling of cortisol from inspiring English sources

Multilevel modelling of cortisol measurements.

Results from the multilevel modelling of cortisol data are reported in Table 2.

The aim of the present study was to test the model of increased cortisol metabolism in a new replication sample separately and combined with a previously published sample of bipolar disorder and schizophrenia.

To explore whether there are any significant differences between the interaction of the two P. buchholzi GRs and ligands that could explain the difference in transactivation activity sensitivity we modelled the docking of cortisol and 11-deoxycortisol in the P. buchholzi GR1 and GR2 E-domain (Additional file 1 Tables S1 and S2).

This is reflected in Figure S2 and hence more sophisticated modelling of the serum cortisol data was not considered necessary to conduct the ethnic group comparisons.

Investigators can establish a model of baseline levels of cortisol by collecting samples several times prior to the stress manipulation.

We compared two linear mixed models for cortisol.

Specifically, we fitted a standard linear mixed model (i.e. with common variability of cortisol across women), but the model allowing differences in cortisol variability across women seemed to fit better and was therefore preferred over the standard model.

With the exception of cortisol, the model was (1) T R A I T = μ + A + E. Traits, abbreviation and measurements of mean, standard deviation and coefficient of variation.

This association was not accounted for by the inflammatory markers IL-6 and CRP (model C); HPA axis-related indicators, such as diurnal slope of cortisol secretion and waking cortisol (model D); or women's health factors, such as menopausal status and use of HRT (model E).

Our model therefore confirms the dominating role of cortisol as a regulator of stress dependent insulin resistance.