Addressing new challenges with missing data in complex epidemiological studies: methods, guidance and software

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Missing data arise in almost all research studies so that standard methods of analysis can lead to inaccurate results. As research studies become more complex in their design and analysis, this raises questions around how best to handle the missing data. The aim of this research is to develop and evaluate methods that enable the missing data to be incorporated appropriately to ensure that valid conclusions are obtained in order to provide guidance for the practical researcher.