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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