Abstract

A method for analysing matched case control data in presence of overdispersion or correlation between observations within matched sets is presented. A generalised linear mixed model approach is adapted to account for overdispersion by allowing random exposure effects. Expressions for the elements of the estimation equation are derived and a strategy for achieving efficiency in computing is discussed. Results from simulation studies and two applications are presented.

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