Sentence examples for models including terms from inspiring English sources

The data were fit to various models including terms for maximum effect (Emax), baseline effect (E0), TFV concentration at half-maximal effect (EC50), and gamma exponent (Hill coefficient) and evaluated for goodness-of-fit.

Odds ratios from multivariate logistic models, including terms for age and gender.

Odds ratios (ORs) were estimated using logistic regression models including terms for tobacco, alcohol and other relevant covariates.

We used conditional logistic regression models, including terms for major recognised gastric cancer risk factors and non-carbohydrate energy intake.

The hrCAP/rCAP ORs and CIs were computed using unconditional multiple logistic regression models, including terms for gender and age (<7 vs ≥7 years old: i.e. median values).

The multivariate odds ratios (OR) of the influenza virus subtypes (influenza A/H1N1, influenza A/H3N2, or influenza B), and the corresponding 95% confidence intervals (CI) were calculated using unconditional multiple logistic regression models, including terms for age and gender.

The models included terms for population (two levels), treatment (seven levels) and their interaction.

The regression models included terms for the policy change and secular trends for the periods before and after the policy change.

Therefore models included terms representing slopes for 0 15 and 15+ years duration.

Some models included terms for season or year to account for seasonal and annual variations.

The linear mixed models include terms for the treatment groups, time, and interaction terms "treatment group" and "time".