epiR (version 0.9-69)

epi.bohning: Bohning's test for overdispersion of Poisson data

Description

A test for overdispersion of Poisson data.

Usage

epi.bohning(obs, exp, alpha = 0.05)

Arguments

obs

the observed number of cases in each area.

exp

the expected number of cases in each area.

alpha

alpha level to be used for the test of significance. Must be a single number between 0 and 1.

Value

• A data frame with two elements: test.statistic, Bohning's test statistic and p.value the associated P-value.

References

Bohning D (2000). Computer-assisted Analysis of Mixtures and Applications. Chapman and Hall, Boca Raton. Ugarte MD, Ibanez B, Militino AF (2006). Modelling risks in disease mapping. Statistical Methods in Medical Research 15: 21 - 35.

Examples

data(epi.SClip)
obs <- epi.SClip$cases
pop <- epi.SClip$population
exp <- (sum(obs) / sum(pop)) * pop

epi.bohning(obs, exp, alpha = 0.05)