www.uhasselt.be
DSpace

Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10506

Title: A frequentist approach to estimating the force of infection and the recovery rate for a respiratory disease among infants in coastal Kenya
Authors: Mwambi, H.
Ramroop, S.
White, L.J.
Okiro, E.A.
Nokes, D.J.
Shkedy, Ziv
Molenberghs, Geert
Issue Date: 2011
Publisher: SAGE PUBLICATIONS LTD
Citation: STATISTICAL METHODS IN MEDICAL RESEARCH, 20(5), p. 551-570
Abstract: This paper aims to develop a probability-based model involving the use of direct likelihood formulation and generalised linear modelling in order to estimate important disease parameters from real data. The force of infection and the recovery rate or per capita loss of infection are the parameters of interest. The problem of dealing with time-varying disease parameters is also addressed in the paper by fitting piecewise constant parameters over time. The findings of the current paper are comparable and similar to estimates from an independent approach suggested by White et al.21 that employed Bayesian MCMC modelling via WinBUGS.
Notes: H. Mwambi1, S. Ramroop: University of KwaZulu-Natal, P/Bag X01 Scottsville, PMB, SouthAfrica - Ziv Shkedy, and Geert Molenberghs: Hasselt University, Agoralaan 1, B-3590, Diepenbeek,Belgium
URI: http://hdl.handle.net/1942/10506
DOI: 10.1177/0962280208098666
ISSN: 0962-2802
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Published version 176.27 kBAdobe PDF
Peer-reviewed author version203.95 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.