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Table 2 The mean regression coefficients, 2.5–97.5% quantiles effects from the ecological Bayesian spatio-temporal mixed-effect regression model. The intercept represents the overall baseline. Sigma.w and sigma.t are the variances for spatial and temporal random effects, respectively; Sigma.nu[1] and [2] are space–time interaction effects for the stable (structured) and unstable (unstructured) risk patterns. The SD, MC error and their ratio are shown

From: The impact of child health interventions and risk factors on child survival in Kenya, 1993–2014: a Bayesian spatio-temporal analysis with counterfactual scenarios

Determinant Mean [2.5–97.5%] SD MC error Ratio
Breastfed within 1 h − 0.39450 [− 0.52450 to − 0.26490] 0.06628 0.00085 1.3%
Better sanitation − 0.61430 [− 0.73030 to − 0.49770] 0.05935 0.00112 1.9%
Female-headed household − 1.05600 [− 1.24800 to − 0.86360] 0.09821 0.00124 1.3%
Fever treatment-seeking − 0.56290 [− 0.78010 to − 0.34570] 0.11080 0.00127 1.2%
HIV risk 2.87300 [2.02500–3.72300] 0.43160 0.00894 2.1%
Health facility delivery − 0.19650 [− 0.35470 to − 0.03879] 0.08057 0.00138 1.7%
High parity − 2.05400 [− 2.31500 to − 1.79200] 0.13310 0.00186 1.4%
Malaria risk 0.12810 [0.05127–0.20550] 0.03936 0.00039 1.0%
Stunted 0.22580 [− 0.11780–0.57120] 0.17660 0.00279 1.6%
Fully immunised − 0.11800 [− 0.25840–0.02259] 0.07179 0.00087 1.2%
Intercept − 0.83470 [− 1.10600 to − 0.57020] 0.13650 0.00234 1.7%
Sigma.nu[1] 0.00544 [0.00027–0.01604] 0.00434 0.00015 3.4%
Sigma.nu[2] 0.10210 [0.07864–0.12870] 0.01267 0.00025 2.0%
Sigma.t 0.05245 [0.03791–0.07311] 0.00903 0.00004 0.4%
Sigma.w 0.57350 [0.46660–0.71040] 0.06225 0.00028 0.5%