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Table 2 Summary of regression analysis data. The normal distribution of all datasets were analysed and confirmed using the Chi square goodness-of-fit method (data not shown). R squared values were calculated using the least squares linear regression analysis. The significance of the correlation were analysed using ANOVA test

From: Role of CD248 as a potential severity marker in idiopathic pulmonary fibrosis

 

Correlation to CD248 relative staining area

R squared values (least squares linear regression)

Significance of correlation (ANOVA)

Demographics/clinical data

Age

0.097

0.156

Smoking (pack-years)

0.084

0.226

Lung function data

TLC

0.432

0.005

FVC

0.358

0.003

FEV1

0.392

0.002

TLCO

0.455

0.008