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A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohort

Abstract:

This article aims to develop a probability-based model involving the use of direct likelihood formulation and generalised linear modelling (GLM) approaches useful in estimating important disease parameters from longitudinal or repeated measurement data. The current application is based on infection with respiratory syncytial virus. The force of infection and the recovery rate or per capita loss of infection are the parameters of interest. However, because of t...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1177/0962280210385749

Authors


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Role:
Author
ORCID:
0000-0001-9305-6967
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Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Tropical Medicine
Oxford college:
Wadham College
Role:
Author
ORCID:
0000-0002-6523-185X
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Role:
Author
ORCID:
0000-0001-9543-8360
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Publisher:
SAGE Publications Publisher's website
Journal:
Statistical Methods in Medical Research Journal website
Volume:
20
Issue:
5
Pages:
551-570
Publication date:
2011-10-24
DOI:
EISSN:
1477-0334
ISSN:
0962-2802
Pmid:
22028340
Source identifiers:
206097
Language:
English
Keywords:
Pubs id:
pubs:206097
UUID:
uuid:55239afb-7e64-4230-b349-1372e8b157a6
Local pid:
pubs:206097
Deposit date:
2019-02-05

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