Significats de use linear en anglès

Scientists routinely use linear regression to predict continuous variables, but most phenomena are not linear.

In the first stage, we use linear discriminants for monocodon usage, dicodon usage and translation initiation sites to extract features from DNA sequences.

Factors significantly associated with a higher score were identified using linear regression.

Results were analyzed using linear mixed models and Wilks test comparing variances.

Age-adjusted means and odds ratios were calculated using linear and logistic regression.

Statistical analysis was done using linear regression analysis and Pearson correlation coefficient.

The correlation between prepared and measured concentrations was assessed using linear regression.

We evaluated associations between reproductive characteristics and DNA methylation using linear regression.

We also longitudinally examined cognition over annual evaluations using linear mixed models.

Correlation analysis was performed using linear correlation or Spearman rank correlation coefficients.

Using linear regression, we examined associations between hospital characteristics and risk-adjusted home-time.

The association of symptoms with overall HRQoL was analysed using linear regression.

Main and interaction effects predicting future use intentions were tested using linear regression.

Modifiers of long-term natural course were analyzed using linear mixed-models analysis.

Postpartum change in magnitude of IFN-γ response was determined using linear mixed models.

We used linear and logistic mixed-model regression analysis to model outcomes over time.