Working with collinearity in epidemiology : development of collinearity diagnostics, identifying latent constructs in exploratory research and dealing with perfectly collinear variables in regression
Collinearity plays an integral role in regression studies involving epidemiological data. Variables often form part of a common biological mechanism or measure the same element of a latent structure. It is a natural feature of most data and as such it is rarely possible to physically control for col...
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University of Leeds
2012
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559148 |