Table 2.
Multivariate logistic regression predicting breast cancer
Logistic regression | Number of obs | 57 | ||||
LR chi2(9) | 25.9 | |||||
Prob > χ2 | 0.0021 | |||||
Log likelihood | − 25.488985 | Pseudo R2 | 0.3369 | |||
Breast cancer status | Odds ratio | Std. err. | z | p > z | [95% conf. | Interval] |
Age | 1.11 | 0.07 | 1.79 | 0.07 | 0.99 | 1.25 |
Age of first live birth | 1.04 | 0.08 | 0.50 | 0.62 | 0.89 | 1.22 |
Age of menarche | 1.33 | 0.38 | 0.99 | 0.32 | 0.76 | 2.34 |
Current alcohol intake | 0.21 | 0.16 | − 2.06 | 0.04 | 0.05 | 0.93 |
BMI | 0.95 | 0.07 | − 0.78 | 0.44 | 0.82 | 1.09 |
Ever breast fed | 0.61 | 0.50 | − 0.60 | 0.55 | 0.12 | 3.06 |
Family history | 2.37 | 1.91 | 1.07 | 0.28 | 0.49 | 11.51 |
Post- vs pre-menopausal | 0.01 | 0.02 | − 2.60 | 0.01 | 0.00 | 0.32 |
Smoking (py) | 0.89 | 0.08 | − 1.29 | 0.20 | 0.74 | 1.06 |