The analysis of hospital infection data using hidden Markov models.
Surveillance data for communicable nosocomial pathogens usually consist of short time series of low-numbered counts of infected patients. These often show overdispersion and autocorrelation. To date, almost all analyses of such data have ignored the communicable nature of the organisms and have used...
| Main Authors: | , |
|---|---|
| Formato: | Journal article |
| Idioma: | English |
| Publicado em: |
2004
|