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Table 2 Parameters and estimated standard errors in the rates smoothing models

From: Lung cancer and COPD rates in Apulia: a multilevel multimember model for smoothing disease mapping

 

Lung Cancer

 

A - Model with spatial effect

B - Model with spatial effect and ASL effect

C - Model with spatial effect and risk Area effect

 

Estimate

St. Error

Estimate

St. Error

Estimate

St. Error

Fixed part Intercept

0.0169

0.0596

-0.0369

0.0575

0.0826

0.0759

Random part

      

σ 2 u heterogeneity

0.0336*

0.0144

0.0402*

0.0154

0.0272

0.0147

σ 2 v clustering

0.6940*

0.3025

0.2635

0.2498

0.7179*

0.3043

σ 2 w ASL

  

0.0218

0.0203

  

σ 2 w environmental risk area

    

0.0064

0.0085

   n i

29.07

 

29.07

 

29.07

 

   m i

  

43.00

 

19.85

 

   σ2 v/n i

0.0239

 

0.0091

 

0.0247

 

   σ2 w/m i

  

0.0005

 

0.0003

 

σ 2 TOTALE

0.0575

 

0.0498

 

0.0522

 

AIC

390.6

389.4

393.2

 

COPD

 

A - Model with spatial effect

B - Model with spatial effect and ASL effect

C - Model with spatial effect and risk Area effect

 

Estimate

St. Error

Estimate

St. Error

Estimate

St. Error

Fixed part Intercept

-0.1137

0.0953

-0.0327

0.1286

-0.1137

0.0953

Random part

      

σ 2 u heterogeneity

0.0722*

0.0152

0.0755*

0.0147

0.0722*

0.0152

σ 2 v clustering

2.1485*

0.9170

0.7946

0.5500

2.1485*

0.9170

σ 2 w ASL

  

0.0747

0.0557

  

σ 2 w environmental risk area

    

0.0000

-

n i

29.07

 

29.07

 

29.07

 

m i

  

43.00

 

19.85

 

σ2v/n i

0.0739

 

0.0273

 

0.0739

 

σ2w/m i

  

0.0017

 

0.0000

 

σ 2 TOTALE

0.1461

 

0.1045

 

0.1461

 

AIC

311.4

 

297.4

 

311.4

 
  1. * p < 0.05