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Table 3 Poisson regression parameter estimates (95% Wald CI), residual deviance and over-dispersion parameter

From: Comparison of Bayesian and frequentist approaches in modelling risk of preterm birth near the Sydney Tar Ponds, Nova Scotia, Canada

Parameter Model 1 Model 2 Model 3 Model 4
α - -0.0878(-0.2519,0.0763) - -0.075 (-0.239,0.089)
α o 0.2520 0.2707 (0.2111,0.3303) 0.2163 (-0.3427,0.7753) 0.226 (-0.334,0.785)
ϕ 1 - - -0.0034 (-0.0103,0.0035) -0.003 (-0.010,0.004)
ϕ 2 - - -0.0008 (-0.0099,0.0083) -0.0005 (-0.0096,0.0086)
ϕ 3 - - 0.0115 (-0.0074,0.0305) 0.011 (-0.008,0.030)
ϕ 4 - - 0.0007 (-0.0128,0.0142) 0.0006 (-0.0129,0.0141)
ϕ 5 - - -0.0011 (-0.0079,0.0057) -0.0010 (-0.0078,0.0058)
η 1.287 1.311(1.235,1.391) 1.241(0.710,2.171) 1.254(0.716,2.192)
Deviance 132 130.56 122.9983 122.18
Df 143 142 138 137
κ 0.99 0.9942 0.9887 0.9906