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Design-based analysis of surveys: a bovine herpesvirus 1 case study

Published online by Cambridge University Press:  07 October 2003

N. SPEYBROECK
Affiliation:
Institute for Tropical Medicine, Nationalestraat 155, 2000 Antwerp, Belgium
F. BOELAERT
Affiliation:
Co-ordination Centre for Veterinary Diagnostics, Veterinary and Agrochemical Research Centre, Groeselenberg 99, 1180 Brussels, Belgium
D. RENARD
Affiliation:
Center for Statistics, Limburgs Universitair Centrum, Universitaire Campus, 3590 Diepenbeek, Belgium
T. BURZYKOWSKI
Affiliation:
Center for Statistics, Limburgs Universitair Centrum, Universitaire Campus, 3590 Diepenbeek, Belgium
K. MINTIENS
Affiliation:
Co-ordination Centre for Veterinary Diagnostics, Veterinary and Agrochemical Research Centre, Groeselenberg 99, 1180 Brussels, Belgium
G. MOLENBERGHS
Affiliation:
Center for Statistics, Limburgs Universitair Centrum, Universitaire Campus, 3590 Diepenbeek, Belgium
D. L. BERKVENS
Affiliation:
Institute for Tropical Medicine, Nationalestraat 155, 2000 Antwerp, Belgium
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Abstract

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This paper critically assesses the design implications for the analysis of surveys of infections. It indicates the danger of not accounting for the study design in the statistical investigation of risk factors. A stratified design often implies an increased precision while clustering of infection results in a decreased precision. Through pseudo-likelihood estimation and linearisation of the variance estimator, the design effects can be taken into account in the analysis. The intra-cluster-correlation can be investigated through a logistic random effect model and a generalised estimating equation (GEE), allowing the investigation of the extent of spread of infections in a herd (cluster). The advantage of using adaptive Gaussian quadrature in a logistic random effect model is discussed. Applicable software is briefly reviewed. The methods are illustrated with data from a bovine herpesvirus 1 (BHV-1) serosurvey of Belgian cattle.

Type
Research Article
Copyright
2003 Cambridge University Press