| Autor: |
Achcar JA, Martinez EZ, Ruffino-Netto A, Paulino CD, Soares P, Achcar, J A, Martinez, E Z, Ruffino-Netto, A, Paulino, C D, Soares, P |
| Zdroj: |
Epidemiology & Infection; Dec2008, Vol. 136 Issue 12, p1599-1605, 7p |
| Abstrakt: |
We considered a Bayesian analysis for the prevalence of tuberculosis cases in New York City from 1970 to 2000. This counting dataset presented two change-points during this period. We modelled this counting dataset considering non-homogeneous Poisson processes in the presence of the two-change points. A Bayesian analysis for the data is considered using Markov chain Monte Carlo methods. Simulated Gibbs samples for the parameters of interest were obtained using WinBugs software. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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