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Table 4 A sample of North Carolina counties with observations, fitted values, and residuals with full models

From: Spatially varying effects of measured confounding variables on disease risk

County

  

Generalized pattern recognition procedure

Spatial scan statistic

 

YFT

XFT1

X2

X3

\(\widehat{{Y}^{FT}}\)

YFT-\(\widehat{{Y}^{FT}}\)

X2

X3

\(\widehat{{Y}^{FT}}\)

YFT-\(\widehat{{Y}^{FT}}\)

Alamance

3.399

32.629

0

0

2.812

0.587

0

0

2.892

0.507

Alexander

0.866

19.637

0

1

1.909

− 1.043

0

1

2.023

− 1.157

Alleghany

1.433

9.284

0

1

2.038

− 0.605

0

0

2.192

− 0.759

Ashe

2.311

6.203

0

1

2.076

0.236

0

0

2.099

0.212

Avery

1.132

4.793

0

1

2.093

− 0.962

0

0

2.057

− 0.926

Beaufort

3.336

41.003

0

0

2.981

0.355

0

0

3.143

0.193

Bertie

4.428

52.764

1

0

4.321

0.107

1

0

4.298

0.130

Bladen

4.366

42.863

1

0

3.915

0.452

0

0

3.199

1.167

Brunswick

2.527

34.778

0

0

2.855

− 0.328

0

0

2.957

− 0.430

Buncombe

2.474

22.255

0

0

2.602

− 0.129

0

0

2.581

− 0.107