Table 5.

Simple logistic regression analysis between single (= 0) and multiple (= 1) reoperation and categorical independent variables

Model	Missing data		Std. Error		Censored (0)		Z		p-value		AUC	p-value
Patient age	0		0.096		20		1.24		0.21		0.6	0.31
Sex	0		0.10		22		1.419		0.15		0.61	0.25
Location*	0		0.098		14		1.877		0.06		0.65	0.09
WHO grade	0		0.105		11		0.35		0.72		0.53	0.77
Simpson grade	0		0.091		17		2.269		0.02		0.69	0.05
PR expression	0		0.110		25		0.687		0.49		0.56	0.58
Ki67-MIB1	0		0.10		20		0.210		0.83		0.51	0.86
Multivariate Cox proportional hazards regression analysis– only variables with p < 0.2 from univariate analysis were included
Variable		Estimate HR		95% CI		Std. Error		Z		p-value
Age		3,115		0,5342 to 20,63		0,908		2.723		0.27
Location*		1,000		0,09634 to 10,38		1,134		1,974		0.45
Simpson		0,1333		0,009325 to 1,591		1,252		3,447		0.15

* Location is expressed as continue variable (SB = 1; PF = 2; BC = 3; LV = 4) # Sex is expressed as binary variable (1 = M; 0 = F) ¥WHO grade is expressed as binary variable (1 = WHO grade I; 2 = WHO grade 2)