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Table 3 Parameter estimation results for observed 2004 WNV death percentages.

From: A comparison of six analytical disease mapping techniques as applied to West Nile Virus in the coterminous United States

 

Gaussian SAR

Gaussian spatial filter

binomial spatial filter

Statistic

estimate

se

estimate

se

estimate

se

Spatial autocorrelation

0.01

0.101

1 (spatial filter MC = 0.030)

0.135

6.07

4.701

intercept

-3.30

0.172

-3.31

0.124

-3.48

0.182

I0

2.63

0.491

2.62

0.323

-20.01

41223

approximate dfs

45

39

45

Residual P(S-W)

0.249

0.256

< 0.0001

Residual MC

-0.0224

-0.0753 (zMC = -0.3)

-0.073

Residual GR

1.1361

1.0788

1.088

deviance

0.9001

0.4686

1.0346

pseudo-R2

0.494

0.754

0.07

predicted-observed regression slope

1.31

0.72

0.87

HGLM

 

proper CAR

spatial filter

Statistic

estimate

se

estimate

se

  

spatial autocorrelation

-0.08

0.148

0.999 (spatial filter MC = 0.762)

0.226

intercept

-3.28

0.122

-2.99

0.122

I0

-81.63

62

-80.94

60

approximate dfs

45

44

residual P(S-W)

<0.0001

0.192

residual MC

0.0596

0.0130

residual GR

0.9417

0.9270

deviance

0.9715

0.4992

pseudo-R2

0.328

0.411

predicted-observed regression slope

30.60c

0.99