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Estimating prevalence by group testing using generalized linear models
Author(s) -
Farrington C. P.
Publication year - 1992
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780111206
Subject(s) - generalized linear model , overdispersion , statistics , group testing , population , linear model , estimation , computer science , mathematics , medicine , engineering , count data , environmental health , systems engineering , combinatorics , poisson distribution
A method is described for estimating prevalence by group testing using generalized linear models. This provides a simple way of analysing such data using widely available software. Existing methodology to correct for overdispersion using quasi‐likelihoods is applied to the group testing model. The methods are illustrated by an estimation of salmonella contamination in eggs, and of yellow fever virus infection in a mosquito population.