Report on tutorial for the application of a suite of ‘multiple exposure methods'

Methods capable of handling multiple exposures in exposureresponse analyses will be developed This includes the conventional approach of analysing all exposureresponse associations in parallel while adjusting for multiple comparisons and novel methods based on machine learning approaches that account for the correlations between exposures