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Table 2 Tests for assessing the presence of heterogeneity and spatial autocorrelation in the relative risks of mortality for lung cancer in the province of Lecce, 1992–2001

From: Geographical clustering of lung cancer in the province of Lecce, Italy: 1992–2001

Test

Sampling null distribution

Number of iterations

P-value

Males

   

Pearson chi-squared

Multinomial

9999

0.01

Pothoff-Whittinghill

Multinomial

9999

0.01

Dean's over-dispersion test

  

0.01

Geary's C

Negative Binomial

9999

0.03

Moran's I

Negative Binomial

9999

0.01

Females

   

Pearson chi-squared

Multinomial

9999

0.02

Pearson chi-squared *

Multinomial

9999

0.42

Pothoff-Whittinghill

Multinomial

9999

0.01

Pothoff-Whittinghill *

Multinomial

9999

0.42

Dean's over-dispersion test

  

0.01

Dean's over-dispersion test*

  

1.00

Geary's C

Negative Binomial

9999

0.53

Moran's I

Negative Binomial

9999

0.64

  1. Parametric bootstrap under used, when necessary, to compute the significance of the observed values. For Geary's C and Moran's I a Negative Binomial bootstrap sampling distribution under the null hypothesis was used, in order to account for the presence of extra-Poisson variation. For females, some tests were conducted twice: the star '*' means that the test was carried out excluding the Lecce area.