Bayesian methods for modelling non-random missing data mechanisms in longitudinal studies
In longitudinal studies, data are collected on a group of individuals over a period of time, and inevitably this data will contain missing values. Assuming that this missingness follows convenient `random- like' patterns may not be realistic, so there is much interest in methods for analysing i...
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Imperial College London
2009
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.513470 |