Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 404157
Title Bayesian statistics for infection experiments
Author(s) Heres, L.; Engel, B.
Source In: Bayesian Statistics and Quality Modelling in the Agro-Food Production Chain / Boekel, van, Stein, A., Bruggen, van, Dordrecht : Kluwer (Wageningen UR Frontis series vol. 3) - ISBN 1402019165 - p. 131 - 139.
Department(s) CIDC - Divisie Bacteriologie en TSE's
Biometris (WU MAT)
ID - Infectieziekten
Publication type Peer reviewed book chapter
Publication year 2004
Keyword(s) bayesiaanse theorie - markov-processen - monte carlo-methode - ziekten overgebracht door voedsel - pathogenen - pluimvee - epidemiologie - bayesian theory - markov processes - monte carlo method - foodborne diseases - pathogens - poultry - epidemiology
Categories Mathematical Statistics / Food Quality and Safety
Abstract To intervene cycles of food-borne pathogens in poultry new intervention methods need to be tested for their effectiveness. In this paper a statistical method is described that was applied to quantify the observed differences between test groups and control groups. Treated chickens and their controls were inoculated with several doses and were daily examined for the shedding of the tested pathogens. For these infection experiments with individually housed chickens and where binary data were available for each individual chicken a Bayesian analysis employing Markov Chain Monte Carlo (MCMC) was applied for the statistical analyses. The Cox’ proportional hazard reflected the typical features of the data, i. e. dependency, waitingtime structure and censoring. The outcomes of the analyses are two measures of difference in susceptibility between the feed groups. The first effect measure is a relative risk of being infected. The second is a difference in waiting time or a difference in inoculation dose to get a comparable proportion of infected animals
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