Sentence examples for regression analyses displayed from inspiring English sources

The regression analyses displayed in Table  2 show the associations between high school dropout and long-term sickness or disability between ages 24 and 29.

Linear regression analyses displayed highly significant correlations (r = 0.982) between qRT-PCR and microarray results for the 12 evaluated genes (see Additional file 2), confirming the validity of the microarray results.

In further logistic regression analyses displayed in Table  3, associations of absenteeism with any psychiatric disorder, conduct disorder and emotional disorder remained significant in all models after adjustment (Table  3).

Results from linear regression analyses are displayed in Table  3.

Results of regression analyses are displayed in the form of regression estimates tables.

The results of the regression analyses are displayed in tables 4– 6.

Statistical measures of co-occurrence between prevalent possible asthma, rhinitis, eczema, and allergies to food, furred pets and pollen in multiple logistic regression analyses are displayed by age in Figure  1a-c and summarised across age in Table  1.

Labels are ignored in meta-regression analyses (though displayed in plots when pertinent).

Epi Info and SPSS were used to enter and analyze the data; univariate, bivariate and logistic regression analyses were performed to display the outputs.

We performed univariate Cox regression analyses on the CpG sites displaying the greatest variation of DNA methylation (SD > 0.15).

Results from multivariate logistic regression analyses, stratified by alcohol abuse, are displayed in Table  3.