Sentence examples for model with subject from inspiring English sources

A full body musculoskeletal model with subject specific lower extremity geometries was developed in the multibody framework.

Each PRO domain and summary score within the maintenance phase sample were analyzed using a MMRM model, with subject as a random effect and with maintenance phase visit (Week 8, Month 12), sustainer status at Month 12 (remission, not in remission), and the visit * sustainer status interaction as fixed effects.

Within-subject variance of ECFCs assay was calculated as the mean square error from an analysis of variance model with "subject" as main effect.

Since the subjects' pleasantness towards odorants could play an interfering role, VAS scores were considered as covariates in a mixed model with "Subject" as random-effects factor and the others factors (specific for each experiment) as fixed-effects factors.

The 4 baseline time points were used to determine the between-subject effect, again using a linear model with subject as the only factor.

A mixed-effects model with subject as a random effect and day as a fixed effect was performed on the loge-transformed Cτ data.

Where indicated, combined p-values were calculated in R using Fisher's method, also called Sum of Logs method or Chi-Square (2) method, using the METAP library.61,62,63 Relative (percent) change rate of HbA1c was compared using the linear mixed effects model with subject-level random effects.

Subjects are assumed to act as Bayesian observers, whose recognition of the hidden causes of their sensory inputs depends on the inversion of a perceptual model with subject-specific priors.

(8) SRF: a model with subject-specific RF.

In a subset of 955 subjects who had at least one follow-up AVLT evaluation after imaging, we fit a separate linear mixed effects regression model with subject-specific intercepts and slopes for each N+ definition.

Predictors include sociodemographic (e.g. age, education), clinical (disease stage), baseline fitness, and ecological variables (NEWS, etc).. Quality of Life (FACT-G and FACT-P), musculoskeletal fitness, and aerobic fitness are efficacy outcomes that are analyzed using linear mixed effects model with subject-specific random effects and group-by-time interactions.