Table 2.
Best performing models for estimating ψ0 = E0(Y |W, A, S) for the vaccine and placebo groups of the CYD14 trial. For both the vaccine and placebo groups the model with the lowest CV-MSE was a logistic regression (glm) using variables selected from the screen screen.MNv2 in Table 1.
Model Term | Coefficient | Odds Ratio | 2-Sided P-value |
---|---|---|---|
Vaccine Model | |||
(Intercept) | 1.09 | 2.96 | 0.26 |
AGE.9.11 | −0.09 | 0.91 | 0.74 |
AGE.12.14 | −2.46 | 0.09 | <0.01 |
MALE | −0.36 | 0.70 | 0.09 |
M13.MNv2.S1b | −3.62 | 0.03 | <0.01 |
M13.MNv2.S2 | 0.77 | 2.16 | 0.02 |
M13.MNv2.S3 | 1.41 | 4.09 | 0.04 |
M13.MNv2.S4 | −0.12 | 0.89 | 0.81 |
M13.MNv2.Avec | 3.45 | 31.53 | <0.01 |
M13.MNv2.Min | −3.53 | 0.03 | <0.01 |
M13.MNv2.Max | −0.59 | 0.55 | 0.28 |
Sero2.frequencyd | −0.91 | <0.01 | <0.01 |
Sero3.frequency | −0.57 | <0.01 | <0.01 |
Sero4.frequency | −0.38 | 0.02 | <0.01 |
Placebo Model | |||
(Intercept) | 1.97 | 7.16 | 0.01 |
AGE.9.11 | 0.84 | 2.32 | <0.01 |
AGE.12.14 | −0.17 | 0.85 | 0.55 |
MALE | 0.04 | 1.04 | 0.82 |
M13.MNv2.S1b | −1.10 | 0.33 | <0.01 |
M13.MNv2.S2 | 0.25 | 1.29 | 0.34 |
M13.MNv2.S3 | 0.56 | 1.76 | 0.10 |
M13.MNv2.S4 | 0.06 | 1.06 | 0.84 |
M13.MNv2.Avec | 1.01 | 2.75 | 0.43 |
M13.MNv2.Min | −2.62 | 0.07 | <0.01 |
M13.MNv2.Max | −0.25 | 0.78 | 0.51 |
Sero2.frequencyd | −0.72 | <0.01 | <0.01 |
Sero3.frequency | −0.54 | <0.01 | <0.01 |
Sero4.frequency | −0.46 | <0.01 | <0.01 |
The reference age category is 2–8 year olds.
M13.MNv2.S1 is the binary indicator of a Month 13 positive response to serotype 1 using the MNv2 assay, with positive response defined by MNv2 serotype neutralization titer ⩾ 10. M13.MNv2.S2–M13.MNv2.S4 are defined similarly.
M13.MNv2.Ave, M13.MNv2.Min, and M13.MNv2.Max coefficients are per one log10 increase in neutralization titer value.
Serotype frequency variable coefficients are per 0.10 increase in the estimated serotype frequency of a participant’s country.