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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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Journal:
Biostatistics (Oxford, England)
Volume:
5
Issue:
2
Pages:
223-237
Publication date:
2004-04-05
DOI:
EISSN:
1468-4357
ISSN:
1465-4644
URN:
uuid:53c59819-3cf5-4279-8ad2-a3408942d3e7
Source identifiers:
223860
Local pid:
pubs:223860

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