Combining CT Images and Clinical Features of Four Periods to Predict Whether Patients Have Rectal Cancer

Table 1

Sensitivity analysis before/after gap-filling

Variables	Missing value	After (n = 246)	Before (n = 246)	Statistics
Total cholesterol	11 (4.47%)	4.52 ± 1.28	4.51 ± 1.30	t = 0.03	0.978
Triglyceride	11 (4.47%)	1.30 (0.98, 1.76)	1.30 (0.97, 1.76)	Z = −0.062	0.950
Lipoprotein cholesterol (LD)	12 (4.88%)	2.91 (2.30, 3.56)	2.91 (2.25, 3.60)	Z = −0.046	0.963
Lipoprotein cholesterol (HD)	12 (4.88%)	1.04 (0.86, 1.26)	1.04 (0.83, 1.26)	Z = −0.187	0.852
Carcinoembryonic antigen	3 (1.22%)	2.66 (1.81, 5.29)	2.65 (1.74, 5.17)	Z = −0.100	0.921
Alpha fetoprotein	6 (2.43%)	2.53 (1.88, 3.68)	2.50 (1.87, 3.66)	Z = −0.243	0.808
Sugar antigen 199	13 (5.28%)	9.88 (2.78, 22.28)	9.73 (2.51, 22.28)	Z = −0.227	0.820

LD = low density, HD = high density.