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Table 3 Binary logistic regression with LS vs Non-LS as the dependent variable

From: Identifying risk factors for L’Hermitte’s sign after IMRT for head and neck cancer

Independent Variable Logistic regression coefficient Regression p value Odds Ratioa (95% CI)
Original model
Age −0.034 0.1 0.97 (0.9–1.0)
Laterality −1.037 0.05 0.35 (0.13–1.0)
Diabetes 2.166 0.06 8.7 (0.9–83)
Hypertension 0.384 0.5 1.5 (0.5–4.3)
Cisplatin −0.384 0.4 0.68 (0.3–1.8)
V20% −0.007 0.7 0.99 (0.96–1.0)
V40% 0.059 0.05 1.06 (1.0–1.1)
Homogeneity Index 1.151 0.3 3.2 (0.3–30)
Constant −0.129   
Refined model
Age −0.041 0.06 0.96 (0.9–1.0)
Laterality −1.048 0.019 0.35 (0.2–0.8)
Diabetes 2.301 0.036 10 (1–85)
V40% 0.056 0.047 1.1(1.0–1.1)
Constant 0.200   
  1. Abbreviations: CI – confidence interval Hosmer and Lemeshow test refined model χ2 (7) = 6.056, p = 0.553. Pseudo-R2 = 0.14 to 0.18. aOdds ratio per unit increase in variable or for bilateral radiation and being non-diabetic