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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.