Sentence examples for lung function variables from inspiring English sources

There were no significant correlations between subjects' performances (WD) and lung function variables.

Further assessments include exacerbations (frequency and time to first) and lung function variables.

In a model where pack-years and only one of the lung function variables are included, this lung function variable is significantly related to all the symptoms, illustrating the common information carried by the three lung function variables.

We did not include age and gender because they are accounted for in the calculation of % predicted lung function variables.

Table  4 shows the results of linear regression analyses of lung function variables according to maternal preeclampsia status.

Percentages of predicted values of lung function variables (i.e., FEV1, and FEV1/FVC ratio) were calculated using the European Community for Steel and Coal (ECSC /ERS equation [ 15].

Figures  1 and 2 present the mean FEV1 and FVC when combining the two biomarkers that were predominantly associated with each lung function variable.

Two symptoms 'cough usually day or night during winter' and 'cough and expectoration usually day or night during winter' were not significantly related to any lung function variable when adjusted for pack-years.

Differential expression of individual transcripts was identified using an ANOVA (for categorical analysis) or ANCOVA (for continuous analysis) model incorporating lung function variable (%predicted FVC or DLCO), the final clinical diagnosis of each subject and smoking status.

The estimated parameters of the regression models were expressed as geometric means ratios (MRs) of the respective lung function variable for an increment of one unit of continuous variables or for 1 versus 0 of binary variables, adjusted for the remaining covariates.

We used the same ANOVA models as in the derivation cohort, incorporating lung function variable, IIP subtype, and smoking, on these 4 genes to assess whether there are significant differences in expression between mild and severe disease, as defined by percent predicted DLCO (22 mild and 17 severe) or FVC (36 mild and 23 severe).