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. 2018 Sep 19;31(6):554–564. doi: 10.1177/1971400918800803

Table 7.

Multivariable binary logistic regression analysis for identification of independent predictor(s) of fourth-ventricular subependymoma.

Predictor B coefficient Odds ratio (95% confidence interval) p value
Patients’ age 0.072 1.075 (1.019–1.134) 0.008
Intercept −5.108 <0.001

In stepwise multivariable binary logistic regression analysis for differentiation of fourth-ventricular subependymoma, patient age was the only independent predictor (p = 0.002 for whole regression model).