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Finally more advanced statistical models may be used to analyse larger or more complex datasets to produce adjusted measures of association between multiple factors in one model. There are a number of benefits of multivariable modelling in understanding associations between many factors and disease. The effects of any one factor in the model are adjusted for all other effects in the model, effects of interactions and confounding can be incorporated in the model and models can be expanded to incorporate dependencies amongst observations (clustering of units).