Skip to main content

Table 2 Statistical summary of the multivariate logistic regression model

From: A model based on CT radiomic features for predicting RT-PCR becoming negative in coronavirus disease 2019 (COVID-19) patients

Variables

Coefficient

Std. error

Wald

OR (95% CI)

Time interval from symptoms onset to CT exams

1.045

0.257

16.587

2.84 (1.72, 4.70)

Original_firstorder_Minimum

0.740

0.619

1.430

2.10 (0.62, 7.04)

Original_gldm_SmallDependenceLowGrayLevelEmphasis

0.187

0.297

0.397

1.21 (0.67, 2.16)

Original_glszm_LargeAreaHighGrayLevelEmphasis

0.093

0.290

0.104

1.10 (0.62, 1.94)

Original_firstorder_10Percentile

0.050

0.616

0.007

1.05 (0.31, 3.52)

Original_shape_Sphericity

− 0.007

0.279

0.001

0.99 (0.57, 1.72)

Original_gldm_LargeDependenceLowGrayLevelEmphasis

− 0.076

0.302

0.063

0.93 (0.51, 1.67)

Original_gldm_LargeDependenceHighGrayLevelEmphasis

− 0.123

0.350

0.122

0.88 (0.45, 1.76)

Original_glrlm_ShortRunHighGrayLevelEmphasis

− 0.183

0.328

0.306

0.83 (0.44, 1.59)

Original_shape_SurfaceArea

− 0.570

0.309

3.402

0.57 (0.31, 1.04)

Constant

0.609

   
  1. OR odds ratio, CI confidence interval