Sentence examples for models with treatment from inspiring English sources

GDP per head has no significant effect on notifications, and HIV seroprevalence is significant only in models with treatment success as the programme variable.

Continuous outcomes were analysed using linear regression models, with treatment effects expressed as differences in means.

Binary outcomes were analysed using log binomial regression models, with treatment effects expressed as relative risks.

Effects of treatment and sample on the expression were analysed using general linear models with treatment and sample as factors.

Comparisons were calculated from analysis-of-covariance models, with treatment as the between group factor and baseline as the covariate.

We analysed binary outcomes by using log binomial regression models, with treatment effects expressed as relative risks.

However, identifiability of models with treatment-by-covariate interactions for both scale and shape may be very challenging.

Extending network meta-analysis models with treatment-by-covariate interactions may explain heterogeneity in relative treatment effects.

To obtain p-values from mixed models, we conducted a likelihood ratio (LR) test between each full model (with treatment and random intercepts effects) and a nested, null case of the model (random intercept effects only).

Our discrete model with treatment of latent TB individuals is presented in the next section.

Later, In [20], Guo et al. introduced a TB model with treatment and immigration into the latent compartment.