Journal article
The analysis of hospital infection data using hidden Markov models.
- Abstract:
-
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 methods appropriate only for independent outcomes. Inferences that depend on such analyses cannot be considered reliable when patient-to-patient transmission is important. We propose a new method ...
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- Publisher copy:
- 10.1093/biostatistics/5.2.223
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Authors
Bibliographic Details
- Journal:
- Biostatistics (Oxford, England)
- Volume:
- 5
- Issue:
- 2
- Pages:
- 223-237
- Publication date:
- 2004-04-01
- DOI:
- EISSN:
-
1468-4357
- ISSN:
-
1465-4644
- Source identifiers:
-
223860
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
pubs:223860
- UUID:
-
uuid:53c59819-3cf5-4279-8ad2-a3408942d3e7
- Local pid:
- pubs:223860
- Deposit date:
- 2013-11-17
Terms of use
- Copyright date:
- 2004
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