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. Author manuscript; available in PMC: 2023 Mar 1.
Published in final edited form as: Ann Epidemiol. 2022 Jan 3;67:73–80. doi: 10.1016/j.annepidem.2021.12.010

Figure 4.

Figure 4.

Results (average spillover coefficients and empirical 95% confidence intervals [CI]) from simulations of the nine sibling spillover models in Figures 1-3. Each simulation consisted of 1000 runs of 5000 observations, where each observation represented a sibling pair (i.e., family). Subscripts i and j indicate family and sibling, respectively. Tij is the exposure and Yij is the outcome. The target quantity is the spillover effect (Ti1Yi2), set to θ = 0.5 in all models. Other spillover effects include κ (Ti2Yi1), τ (Ti2Ti1), φ (Ti1Ti2), ψ (Yi1Ti2), η (Yi1Yi2), and λ (Yi2Yi1). Except for θ, all spillover parameters were set to zero except in the following cases: κ = 0.3 in Figures 2A-C; τ = 0.3 in Figures 1B and 2B; φ = 0.3 in Figures 1C and 2C; ω = 0.3 in Figure 3A; η = 0.3 in Figure 3B; and λ = 0.3 in Figure 3C. The spillover coefficient identifies (i.e., is unbiased) for θ in all models of one-sided spillover (Figure 1); identifies the difference between the two exposure-to-outcome spillover effects with two-sided spillover (Figure 2); and is biased in the presence of spillovers originating from outcomes (Figure 3).