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. 2021 Dec 23;10:e73080. doi: 10.7554/eLife.73080

Appendix 10—table 3. Association between gSG6-P2 IgG seropositivity and log PfGLURP IgG seroprevalence.

Variable log odds ratio (SE) 95% CI p-Value RE
Fixed part
log PfGLURP IgG seroprevalence 2.01 (0.09) 1.85–2.18 <0.001
Random part
ψ1 24.3
ρ1§ 0.88

Association between log PfGLURP seroprevalence and gSG6-P2 IgG: log odds ratio and standard error (SE), 95% confidence interval (95% CI), p-value, random-effect variances (ψ), conditional intraclass correlation coefficient (ICC) (ρ)* and model log likelihood (ℓ) from logistic mixed-effects modelling. This analysis is based upon n = 116 study-specific observations.

*ρ = , where ψk through ψnk are random-effect (RE) variance estimates pertaining to each of the respective variance components (see table notes ‡ and §) from generalised linear multilevel model (mixed effects, logistic) for a specific ICC estimate.

Generalised linear multilevel modelling (mixed effects, logistic) estimating the association between log PfGLURP seroprevalence and anti-gSG6-P2 IgG seropositivity with random effects for study-specific heterogeneity in gSG6-P2 IgG seropositivity.

ψ1 represents variance of the random effect for study.

§ρ1 represents conditional ICC for salivary antibody observations from the same study.