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. 2015 May 5;6(2):99–105. doi: 10.1007/s13193-015-0404-1

Table 1.

logistic regression predicting relapse

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