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. Author manuscript; available in PMC: 2021 Oct 20.
Published in final edited form as: J Causal Inference. 2021 Apr 5;9(1):9–38. doi: 10.1515/jci-2019-0033

Figure 4:

Figure 4:

Comparison of different natural infectiousness and susceptibility effects. Figure a) compares different natural infectiousness effects – natural infectiousness effect IE(t, xi = 0), crude infectiousness effect VEInet(t), the infectiousness defined in mediation analysis VEI(t) and bounds identified by principal stratification – when both true susceptibility effect and true infectiousness effect are beneficial (eβ = 0.3, eσ = 0.5). Similarly, Figure b) shows the same comparison of multiple natural infectiousness effects as in Figure a) when the true infectiousness effect is much stronger than the true susceptibility effect (eβ = 0.4, eσ = 0.01). Figure c) shows the comparison of different types of natural susceptibility effect – the natural susceptibility effect SE(t, 0), the crude susceptibility effect DE(t) under Bernoulli, Complete, and Cluster randomization – when both true susceptibility effect and true infectiousness effect are beneficial (eβ = 0.3, eσ = 0.5) as in Figure a). Likewise, Figure d) shows the same comparison of multiple natural susceptibility effects when the true infectiousness effect is much stronger than the true susceptibility effect (eβ = 0.4, eσ = 0.01). All four graphs are under constant baseline hazards α(t) = 0.2 and γ(t) = 10.