Sentence examples for model using log from inspiring English sources

We built a multivariable model using log binomial regression for possible explanation, adjusting for biologic and known confounding factors for racial association with disease and health conditions.

Due to the relatively skewed nature of the health rating scores, we examined our final multivariable model using log transformed health rating scores.

To test the significance of the individual variables, we compare a reduced model that drops one of the independent variables with a full model using log likelihood test.

Selection of the other variables for the multivariate analyses was based on their ability to improve the overall model using log likelihood ratio test (37).

We found that the negative binomial random regression model to provided a good fit to raw faecal egg counts whereas residual assumptions of the normal random regression model using log transformed faecal egg counts were not satisfied, which provided evidence in favour of the negative binomial model.

A multivariate Poisson regression model using log-incidence rates as the outcome variable was constructed.

Initially, we included the full model using log-transformed body size and lip size values.

A SAS program for hypertabastic proportional hazard model using log-time is provided in the Additional file 1: Documents.

The deviance information criteria value for the model using categorized plasma D-dimer concentrations was nearly identical to the model using log-transformed continuous plasma D-dimer measurements (6,069 categorized vs. 6,070 continuous plasma D-dimer).

The logistic model using log-transformed water volume and leaf litter mass fit well for all species but the two most common species, A. triseriatus and C. guttipennis (Table 2).

We initially estimated a full model using log-transformed population density in 2000, change in log-transformed population density between 1990 and 2000, protection status, and the interactions of these three variables as fixed effects, and state as a random effect (because we have two values for each state, one for protected areas and one for unprotected areas).