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Table 1 Poisson regressions.

From: Risk of cancer in the vicinity of municipal solid waste incinerators: importance of using a flexible modelling strategy

  Model 1 coefficient (95% CI) deviance; n – p Model 2 coefficient (95% CI) deviance; n – p
All cancers in women 0.879 (0.671, 1.087)
3029; 2265
0.671 (0.370, 0.971)
2941; 2258
All cancers in men 0.534 (0.316, 0.752)
3782; 2265
0.214 (-0.092, 0.520)
3367; 2256
Breast cancer in women 1.159 (0.826, 1.492)
2596; 2265
0.687 (0.231, 1.144)
2522; 2260
Liver cancer 0.440 (-0.438, 1.318)
2348; 2265
1.119 (-0.131, 2.369)
2287; 2257
  1. The estimates of regression coefficients and their 95% confidence intervals for the index of exposure to MSWIs, deviance and degrees of freedom.
  2. The deviance divided by its degrees of freedom, n – p (number of observations – number of parameters), gives an estimate of the dispersion parameter: if it is > 1 it may indicate overdispersion. Coefficients statistically significant at the 5 per cent level are in bold.
  3. Model 1: without covariates; Model 2: adjusting for the covariates