Sentence examples for variable county from inspiring English sources

In addition, considering the huge disparities in socio-economic development of the sampling counties [ 16], a categorical variable "county" was incorporated into the models.

Instead, we introduced a categorical variable "county" into the analysis, and constructed an interaction term: aging*county, to show the interaction effects of aging and geography in the multivariate models.

As the variable region was more strongly associated with the outcome than the variable county (p = 0.05 versus p = 0.08), region was included in the model as a random effect to account for large-scale (first-order) spatial variation in the data.

Of the 11 possible variables (county area not included as it was a covariate), five were significantly correlated with Japanese knotweed distribution and explained 24% of the variation (Tables 1 and 2).

In models that excluded all hospital characteristics, lagged patient flow variables, and county level variables, the estimated opt-out coefficients were negative, and statistically significant (p < 0.05) when the dependent variable was the number of surgical discharges.

We used a variable of county population size available in the NCHS birth certificate data as a proxy for the urbanicity of each county (Table 1).

The variable measuring county diagnosis propensity has similar associations with cataract and benign prostatic neoplasm, but an opposite association with knee degeneration episodes.

We also investigated whether avian community structure metrics changed from 1998 to 2002 with a repeated measures ANOVA with year as a within-subjects variable and county infection status (i.e., reporting human infection or no infection) as a between-subjects.

Rurality was measured as a categorical variable by county and then matched to an Urban Influence Code [ 25] which designated the respondent as living in a county that was either rural or urban.

The data was smoothened by a non-parametric method for estimating local regression surfaces, loess smother, with the span-parameter set to 0.75 for each variable and county and visualised using in-house S-Plus scripts (13).

Because the study participants were spread all over the country (though mainly in the Southern and Western parts, see online supplementary figure 1), and because of regional variation in mortality rates in Finland 39 we included a four-category area-level variable for county in the analyses (South, West, East and North obtained from Statistics Finland).