Sentence examples for models analyses with from inspiring English sources

We conducted all mixed effects models analyses with the package nlme (v.

In both genes, positive selection was detected in the site-specific models analyses with a high posterior probability of evolving under positive selection for two atpB (sites 16 and 488) and one petA (site 239) residues but not in the branch-site models (Tables S3 to S5).

Structural Equation Modeling (SEM) was used for latent model analyses with Mplus software V7.1 [ 25].

Means for continuous outcomes were compared using linear (both fixed and mixed effects) model analyses, with adjustment for baseline measurements.

The effectiveness of the intervention (time*group interaction) will be analysed using linear mixed model analyses with the outcome measures at follow-up (T1-T2) as the dependent variables.

Results from linear mixed model analyses with maternal or paternal tobacco smoking as independent variable and DNA methylation as dependent variable.

Two sensitivity analyses repeated the above mixed model analyses with only participants (n=214) who provided at least one post-randomisation data point and with only participants (n=182) who completed the treatment/dose adjustment phase and were assessed at month 5.

Latent growth modeling analyses with multicohort data have demonstrated that, compared with earlier cohorts, more recent cohorts exhibit lower initial levels of binge drinking but more rapid increases from age 18 to young adulthood (Jager et al. 2013).

They demonstrated by simulation that this greatly reduced sampling and mean square errors, and, moreover, that this held for animal model analyses with a complicated pedigree structure and many different types of covariances between relatives.

We explored differences in HRQoL between children aged 6-7 (n = 12) and 8-18 years (n = 28) using independent t-tests, and performed all mixed model analyses with and without children aged 6-7 years.

We used t tests to assess statistical significance of S. For each immune trait, we then used mixed model analyses with a binomial distribution of errors (with a logit link function) that included linear and quadratic terms (to account for possible directional or stabilizing selection, respectively) with year as a random effect to account for the structure of the data that included recaptures.