Significados de regression method en inglés

The Cox regression method was used to identify independent predictors for survival.

Stepwise multivariable Cox regression method was used to evaluate independent prognostic factors.

Univariate and multivariate analysis was carried out using the Cox regression method.

At the same time chromatographic peak was positioned by linear regression method.

We used descriptive and trend analysis using the linear regression method.

Next, individual representations of the networks were created using a dual regression method.

Data were analyzed by logistic regression method.

Graft and patient survival rates were estimated by the Cox regression method and results expressed as percentage survival.

While the positioning chromatographic peaks by linear regression method was more accurate than relative retention time in literature.

Compared with the classical Haseman-Elston sib-pair regression method, the proposed strategies are more efficient for large-scale genomic mining.

The final model was created using a penalized regression method known as the least absolute shrinkage and selection operator.

Logistic regression method was used to examine the relationship of symptomatic dry eye with difficulty in performing daily activities.

Chi-square analysis and the logistic regression method were used to compare and estimate factors significantly associated with having a complication.

Pearson correlation and multiple regression method were used to investigate the relationship between urinary cadmium levels, gender, age, smoking, passive smoking, and minerals.

The 6-year rate of change (slope) in FEV1 was calculated using a within-person linear regression method.

Royston and Wright's regression method was used to relate ffDNA to gestational age in singleton controls; z-scores were calculated for the multiple pregnancy subgroups.