Abstract
A multiparameter chain binomial model is formulated to describe outbreaks of an infectious disease in households. This model can be easily fitted to data as the maximum likelihood estimates and associated standard errors have simple explicit expressions. The model contains the Greenwood and Reed-Frost models as particular cases, so the appropriateness of either of these models may be tested by simple parametric inference. The usefulness of this general chain binomial model is illustrated with an application to household data for the common cold.
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