Table 1.
Result from logistic regression with weight and size | Result from logistic regression with density | |||||||
---|---|---|---|---|---|---|---|---|
Crude OR (95 %CI) | Adj. OR (95 %CI) | P (Wald’s test) | P (LR-test) | Crude OR (95 %CI) | Adj. OR (95 %CI) | P (Wald’s test) | P (LR-test) | |
Age (cont. var.) | 1 (0.98,1.02) | 1.13 (0.79,1.61) | 0.492 | 0.432 | 1 (0.98,1.02) | 1.21 (0.85,1.74) | 0.293 | 0.069 |
Sex: ref.= | 0.036* | 0.761 | ||||||
F | 1.25 (0.34,4.65) | 0 (0,6792.62) | 0.376 | 1.25 (0.34,4.65) | 0 (0,331.58) | 0.311 | ||
M | 0.4 (0.13,1.28) | 0 (0,516109.96) | 0.284 | 0.4 (0.13,1.28) | 0 (0,141.35) | 0.249 | ||
wt (cont. var.) | 1.0001 (0.9996,1.0005) | 1.0013 (0.9993,1.0033) | 0.195 | 0.12 | ||||
Density = (wt/Size cm) | 1 (0.99,1) | 0.98 (0.93,1.03) | 0.437 | 0.296 | ||||
Size cm (cont. var.) | 1 (0.96,1.05) | 1.17 (0.92,1.48) | 0.2 | 0.154 | ||||
Grade of tumour: i vs h | 2.33 (0.6,9.02) | 0 (0,Inf) | 0.997 | 0.018* | 2.33 (0.6,9.02) | 0 (0,Inf) | 0.996 | 0.03* |
Type of resection ref-R0 | 0.002* | 0.003* | ||||||
R2 | 0.18 (0.04,0.82) | 0.01 (0,70.02) | 0.292 | 0.18 (0.04,0.82) | 1.67 (0.03,97.59) | 0.805 | ||
R1 | 0.27 (0.08,0.98) | 99913257729.65 (0,Inf) | 0.996 | 0.27 (0.08,0.98) | 17537648212.92 (0,Inf) | 0.996 |
* denots significant