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Confronting models with data.

Abstract:

Until now, most of the mathematical modelling work on nosocomial infections has used simple models that have permitted qualitative, but not reliable quantitative predictions about the likely effect of different interventions. Increasingly, researchers would like to use models to provide reliable quantitative answers to both scientific and policy questions. This requires confronting models with data. Here, we discuss the importance of this confrontation with data with reference to previous mod...

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, Thailand/Laos MOP
Role:
Author
Journal:
The Journal of hospital infection
Volume:
65 Suppl 2
Pages:
88-92
Publication date:
2007-06-05
DOI:
EISSN:
1532-2939
ISSN:
0195-6701
URN:
uuid:30a16985-a9e1-4afa-9c43-79571405fe5b
Source identifiers:
375143
Local pid:
pubs:375143

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