Sentence examples for variable regression analyses from inspiring English sources

In latent variable regression analyses 53% of variation in the reals could be explained by fluid and crystallized intelligence and over-claiming as indicated by responses to foils.

As expected, when QoL was examined as a continuous (rather than dichotomous) variable, regression analyses yielded a greater number of significant predictors of QoL.

Factors with a P value ≤ 0.05 by single variable regression analyses were included in a multivariable linear regression model, presented as adjusted coefficient (AC) (95% CI) [ 18].

Multiple linear (continuous dependent variable) and logistic (binomial dependent variable) regression analyses will be used to study the association between the independent and dependent variables of interest.

Both univariable and multiple variable regression analyses investigating ocular biometric parameters in phakic eyes showed small eyes were associated with shallower ACD, steeper corneal keratometry and higher spherical equivalent (all p<0.001, table 3).

Table  5 shows the results of multi-variable regression analyses of the relationship of these exposure variables and the nurses' satisfaction with the program.

Multi-variable regression analyses was used to evaluate the potential effects of nitrate intake from drinking water on methemoglobin levels among women who reported drinking tap water at home at the 36 weeks gestation follow up.

In France, using multi-variable regression analyses, the EQ-5D-3L® scores (Table  6) were significantly lower for patients having an uncontrolled (estimated value -0.22) or partially controlled asthma (estimated value -0.09) as compared with controlled asthma.

Multilevel linear (for continuous outcome variables) or logistic (for dichotomous outcome variables) regression analyses will be performed for the first two objectives.

From the instrumental variables regression analyses, the risk of MUVD was reduced in absolute terms by 2.4 percentage points for each session attended (95% CI -4.9%, 0.0%, p=0.049).

For the NPI-Q variables, regression analyses were run on the symptoms showing significant bivariate correlations with QoL-AD, for severity and distress separately.