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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)

Ï• 1

-

-

-0.0034 (-0.0103,0.0035)

-0.003 (-0.010,0.004)

Ï• 2

-

-

-0.0008 (-0.0099,0.0083)

-0.0005 (-0.0096,0.0086)

Ï• 3

-

-

0.0115 (-0.0074,0.0305)

0.011 (-0.008,0.030)

Ï• 4

-

-

0.0007 (-0.0128,0.0142)

0.0006 (-0.0129,0.0141)

Ï• 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