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Table 3 Goodness of fit statistics for negative binomial regression and generalized estimating equation models applied to cases ascertained by juvenile diabetes algorithms

From: Control charts for chronic disease surveillance: testing algorithm sensitivity to changes in data coding

Algorithm

Model Fit Measures

Number of RCS knots

Incidence

 

Residual Deviance

Residual DOF

Residual Deviance/ Residual DOF

 

 1: 1 + H or 1 + P

175

169

1.04

5

 1: 1 + H or 2 + P

178

170

1.05

4

 1: 1 + H or 3 + P

182

171

1.06

3

 1: 1 + H or 4 + P

192

170

1.13

4

 2: 1 + H or 1 + P

172

165

1.04

5

 2: 1 + H or 2 + P

173

166

1.04

4

 3: 1 + H or 1 + P

167

161

1.04

5

 3: 1 + H or 2 + P

168

162

1.04

4

 1: 1 + P

175

169

1.04

5

 1: 2 + P

192

170

1.13

4

 2: 1 + P

171

165

1.04

5

 2: 2 + P

182

166

1.10

4

 2: 3 + P

186

167

1.11

3

 2: 4 + P

192

167

1.15

3

 2: 5 + P

205

167

1.23

3

Prevalence

 

Marginal R2

 

 1: 1 + H or 1 + P

0.94

5

 1: 1 + H or 2 + P

0.97

5

 1: 1 + H or 3 + P

0.96

5

 1: 1 + H or 4 + P

0.90

5

 2: 1 + H or 1 + P

0.92

5

 2: 1 + H or 2 + P

0.97

5

 3: 1 + H or 1 + P

0.91

5

 3: 1 + H or 2 + P

0.97

5

 1: 1 + P

0.94

5

 1: 2 + P

0.97

5

 1: 3 + P

0.96

5

 1: 4 + P

0.83

5

 2: 1 + P

0.92

5

 2: 2 + P

0.98

5

 2: 3 + P

0.97

5

 2: 4 + P

0.97

5

 2: 5 + P

0.96

5

  1. DOF Degrees of freedom