Sentence examples for models with patients from inspiring English sources

Mixed models (with patients fitted at random) were used for two-sample comparisons in the presence of repeated measurements.

We performed multi level regression analyses (mixed models) with patients (level 1) nested within the practices (level 2).

Multilevel models with patients and trials as the two levels will be explored to investigate treatment effect on various outcomes.

We therefore compared results from multilevel random intercept regression models, with patients nested in practices, with corresponding simple single level models.

were evaluated by using the multilevel mixed effect models, with patients nested in GPs and GPs nested in assessors (Table  2).

However, all statistical inferences in the moderator analyses are based on models including all patients (n = 107), models with patients who had at least three assessments (n = 88), and models controlling for the separate effects of comorbidity.

Ventricular electrical activity was simulated using reaction diffusion models with patient-specific anatomies.

General linear models with patient ID as a random effect and location as a fixed factor were used to assess the effect of location within patients.

The goal of this study was to develop methods for comparing nasal resistance computed by computational fluid dynamics (CFD) models with patient-reported symptoms of NAO using early data from a 4-year prospective study.

The objective of this preliminary study was to compare NR computed using pre- and postsurgery CFD models with patient-reported subjective measures of NAO in the form of NOSE and VAS surveys administered pre- and postsurgery.

For the identification of factors that contribute to the outcomes studied, generalized linear mixed models with patient identification and identification of each individual swab as random effects were used.