Sentence examples for models which examine from inspiring English sources

In addition, there are also models which examine genes that may contribute to disease onset or progression but currently have no identified causative PD mutations.

Time-calibrated phylogenies have also the advantage of using general speciation models, which examine species boundaries from sequences by identifying evolving lineages bridging the coalescent with speciation in the phylogeny [ 5].

Table 3 shows the multivariate ANOVA models which examined the effect of the significant risk factors (education, head injury and intelligence) simultaneously.

The choice of this nontemporally varying conversion factor is unlikely to have introduced analytical bias in our health effects models, which examined temporal associations between the pollutant metrics and the corresponding health endpoints.

To generate adjusted mean levels of the biomarkers within each of the BMI groups, least square means were produced in regression models which examined biomarkers and BMI categories adjusted for age, sex, smoking status, physical activity, and ethnicity.

In his 1971 book "World Dynamics," he developed global modeling, which examines population growth and industrialization in a world with finite resources.

Here we present a basic ecological disease model which examines the rôle feedback loops may play in the spread of BSE and related diseases.

Therefore, we built a model which examines the effects of artificially structured landscape patterns on species richness (α-, β-, γ-diversity).

The simulation model which examines the dynamic behavior of real structures needs to address the impact of uncertainty in both geometry and material parameters.

Students will interact with this simplified model, which examines populations of single predator and prey species, by changing parameters such as the initial population sizes of both the predator and prey as well as other environmental conditions.

The statistical analysis was based on panel data facility-level fixed-effect model which examined how the change of opt-out status affected changes in outcomes while removing facility-level time-invariant unmeasured confounders.