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Lineal regression models were found that gave the best combination of spray-granulation parameters favoring high values of green density, specific surface area and low mean values of granules size.
Correlation analyses and lineal regression models were used to evaluate the association between ALT levels and HIRI.
Using six lineal regression models, adjusted for age, HDL-C, TG and WC we identified certain parameters with an independent association with HIRI levels (Table 4).
Finally, multivariable lineal regression models were fitted to study the relationship between cord blood metal levels and newborn's anthropometric measures and Apgar scores.
To test the relationship between days before anthesis and flower bud sizes, length of anthers, diameter of pollen grain and length of carpels, lineal regression models were used.
A decreasing time trend in the LOS was observed in both sexes, Table 3. P value for time trend estimated using logistic and lineal regression models.
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We evaluated predictive factors of increased IL-6, CRP levels using a multivariate lineal regression model on log-transformed data.
CI: confidence interval * Each column is a single multivariate lineal regression model including as covariates the variables that show a coefficient in each column.
Crude scoring in MMSE which already is corrected by age and schooling time was adjusted for confounders by means of a multivariate lineal regression model.
The slopes for days of mechanical ventilation, days of ICU stay, and cost of antimicrobial agents were calculated with a lineal regression model.
The multivariate analysis for time trends in the variables studied was conducted using Poisson, lineal and logistic regression models adjusted by age, sex and other co-variables when appropriate.
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