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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
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Mwambi, H., Ramroop, S., White, L., Okiro, E., Nokes, D. James, Shkedy, Z. and Molenberghs, G. (2011) A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohort. Statistical Methods in Medical Research , Vol.20 (No.5). pp. 551-570. doi:10.1177/0962280210385749
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Official URL: http://dx.doi.org/10.1177/0962280210385749
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 the limitation arising from the study design and subsequently, the data generated only the force of infection is estimable. The problem of dealing with time-varying disease parameters is also addressed in the article by fitting piecewise constant parameters over time via the GLM approach
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||
| Journal or Publication Title: | Statistical Methods in Medical Research | ||||
| Publisher: | Sage Publications Ltd. | ||||
| ISSN: | 0962-2802 | ||||
| Official Date: | 2011 | ||||
| Dates: |
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| Volume: | Vol.20 | ||||
| Number: | No.5 | ||||
| Page Range: | pp. 551-570 | ||||
| DOI: | 10.1177/0962280210385749 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | Wellcome Trust, IUAP research network of Belgian Government (Belgian Science Policy), NRF of South Africa | ||||
| Grant number: | 061584, P5/24, TTK2005081700004 |
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