Skip to main content

Advertisement

Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Table 4 Effect of the explanatory variables on breast cancer mortality in women younger than 50.

From: Municipal distribution of breast cancer mortality among women in Spain

Variable Conventional Poisson regression model Bayesian model (Besag-York-Molliè)
Three factor model RR 95% Confidence Interval RR 95% Credibility Interval
Socio-economic index     
   per 1 unit 1.002 0.974–1.029 0.992 0.967–1.016
Rurality     
   Change per category1 0.978 0.965–0.992 0.978 0.965–0.991
% Population >=65     
   Change per 10% 1.004 0.998–1.011 1.004 0.998–1.011
Final model     
Rurality     
   Change per category1 0.981 0.968–0.993 0.982 0.977–0.993
  1. 1 Categories: 0 = > 500.000 inhabitants, 1 = 100.001–500.000, 2 = 50.001–100.000, 3 = 20.001–50.000, 4 = 10.001–20.000, 5 = 5.001–10.000, 6 = 2.001–5.000, 7 = 1.001–2.000, 8 = 501–1.000, 9 = 101–500, 10 = <100 inhabitants.