Handling Missing Data In Complex Longitudinal Studies
- Research Opportunity
- Royal Children’s Hospital/Murdoch Childrens Research Institute
|Dr Margarita Moreno Betancurfirstname.lastname@example.org||+61399366191||Personal web page|
|Professor John Calinemail@example.com||+61393456363||Personal web page|
|Ms Ktherine Leefirstname.lastname@example.org||+61393456549|
Missing data are inevitable in epidemiological studies. If not handled appropriately, missing data can affect the validity and accuracy of the results from such studies. Multiple imputation has become a popular approach for dealing with missing data, however as research studies become more complex there is a need to expand the current methodology and determine whether multiple imputation is indeed the best approach. This PhD project will evaluate and develop approaches for handling missing data in the context of complex longitudinal studies. This will be achieved through a combination of simulation studies and detailed case studies answering important epidemiological questions.
Faculty Research Themes
School Research Themes
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research
For further information about this research, please contact a supervisor.
Research NodeRoyal Children’s Hospital/Murdoch Childrens Research Institute
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