Table 2.
Multivariate logistic regression. The models using the final set of features for each criterion. Each model is defined by the different coefficients (B column) of the intercept and independent variables (features). For tumor genetic instability criteria, both regular logistic regression and Firth's logistic regression are shown. SE stands for standard error. The odds ratio and confidence score are presented (exp(B) 95% CI column). In regular logistic regression, Z‐score and its associated p‐value are represented, while in Firth's logistic regression chi‐squared and its p‐value are presented
| Features | B | SE | Exp (B) (95% CI) | Z‐value | Pr(>|z|) |
|---|---|---|---|---|---|
| Risk pretreatment stratification group | |||||
| (Intercept) | −3.95 | 0.91 | 0.019 (0.003–0.114) | −4.36 | 1.32E‐05 |
| Territorial—Euler number per node | 0.65 | 0.26 | 1.92 (1.15–3.20) | 2.49 | 0.013 |
| Age (≥18 month) | 2.66 | 0.61 | 14.36 (4.34–47.50) | 4.36 | 1.28E‐05 |
| Stage | −6.05E‐03 | 0.01 | 0.99 (0.97–1.02) | −0.51 | 0.610 |
| MYCN (MNA) | −5.45E‐03 | 0.01 | 0.99 (0.97–1.02) | −0.50 | 0.620 |
| Tumor genetic instability criteria | |||||
| Regular logistic regression | |||||
| (Intercept) | −23.64 | 2,914.00 | 5.45E‐11 (0–Inf) | −0.01 | 0.994 |
| Territorial—mean quantity of branches per node | 1.50 | 0.58 | 4.46 (1.44–13.80) | 2.60 | 0.009 |
| SCA | 19.89 | 2,914.00 | 4.37E+08 (0–Inf) | 0.01 | 0.995 |
| MYCN (MNA) | 22.58 | 3,245.00 | 6.43E+09 (0–Inf) | 0.01 | 0.994 |
| Ploidy | −2.83E‐03 | 1.32E‐03 | 1.00 (0.99–1.00) | −2.15 | 0.032 |
| Firth's logistic regression | |||||
| Features | B | SE | Exp (B) (95% CI) | Chi‐square | p |
| (Intercept) | −6.53 | 2.10 | 1.42E‐04 (4.58E‐06–4.64E‐02) | 21.99 | 2.73E‐06 |
| Territorial—mean quantity of branches per node | 1.24 | 0.47 | 3.45 (1.42–10.96) | 8.00 | 0.005 |
| SCA | 3.45 | 1.58 | 31.45 (3.04–4.45) | 10.20 | 0.001 |
| MYCN (MNA) | 5.26 | 1.95 | 192.31 (9.81–4764.41) | 20.04 | 7.56E‐06 |
| Ploidy | −2.21E‐03 | 1.04E‐03 | 1.00 (1.00–1.00) | 5.46 | 0.019 |