Sentence examples for models with gamma from inspiring English sources

Excess costs were estimated from generalised linear models with gamma distribution and adjusted for variables that could affect the cost difference.

To adjust for potential clustering of malaria episodes within children, Poisson regression models with gamma distributed random effects were used.

We examined the within and between components of variability using Cox models with gamma frailties [17], [18], which gave almost identical estimates of relative hazards due to the between-neighborhood variability being small, therefore findings from the former models are reported in the present study.

By using Cox models with gamma frailty, we have presented an averaged effect of specific regimens across the different studies [ 17].

Differences between the two treatment arms regarding the primary outcomes will be analyzed using generalized linear models with gamma distribution and log-link function controlling for confounders (e.g. baseline costs and PDHD, age, gender, co-morbidity, EQ-5D scores).

Generalized linear models with gamma distribution and logarithmic link function were used to study the association between genotypes and SvdH score, also adjusted for the effects of socio-demographic and clinical covariates.

Statistical analysis was performed using generalized linear models with gamma-distributed error and log link.

Bayesian analyses of AA data were performed with either the Poisson or the GTR models, with gamma-distributed rate variation across sites and a proportion of invariable sites.

Non-uniformity evolution rates were modelled using discrete gamma distribution (G) and the Tamura Nei substitution model with gamma distribution and invariable rates (I) (TN93 + G + I) was chosen [ 45].

Therefore, the model with gamma distribution and log transform was selected to fit the observed data.

PNC logarithmic curve modeling with (gamma = log _{2} alpha ^{s} + 1)) and (s = 2.533).