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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%