Table 3

Results of logistic regression for the model
Parameter Df Estimate (β) Pr > chisq Odds ratio CI 95%
Intercept 1 0.953 0.467
Marital status 1 0.013 0.647 1.295 0.429- 3.912
Gender 1 −1.012 0.010 0.132 0.028 - 0.617
Age 1 −0.038 0.102 0.963 0.920 - 1.008
Education 0 1 0.544 0.256 0.982 0.189 – 5.104
1 1 −0.761 0.116 0.266 0.46 – 1.532
2 1 −0.345 0.549 0.404 0.059 – 2.768
Tumour site 0 1 −0.297 0.562 0.151 0.026 – 0.869
1 1 −1.476 0.028 0.046 0.005 – 0.421
2 1 0.177 0.811 0.242 0.026 - 2.263
Treatment Intent 0 1 0.199 0.686 0.730 0.102 – 5.208
1 1 −0.712 0.282 0.293 0.025 – 3.85

Marital status (married = 1, single=0) Gender(male=1, female=0); Age was used as a continuous variable Educ. (Basic = 0, Sec. = 1, Tert. = 2, uneduc. = 3) Tumour site (Abd/pel = 0, H/Neck = 1, Thorax = 2, other =3) Treatment Int. (curative = 0, Palliative = 1, unspecified =2).

Yarney et al.

Yarney et al. BMC Complementary and Alternative Medicine 2013 13:16   doi:10.1186/1472-6882-13-16

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