Extending mixed effects models for longitudinal data before and after treatment
For the analysis of longitudinal biomedical data in which the timing of observations in each patient is irregular and in which there is substantial loss to follow-up, it is important that statistical models adequately describe both the patterns of variation within the data and any relationships betw...
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University College London (University of London)
2016
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.746343 |