Handling Missing Data In Complex Longitudinal Studies

Research Opportunity
Royal Children’s Hospital/Murdoch Childrens Research Institute
Primary Supervisor Email Number Webpage
Dr Margarita Moreno Betancur margarita.moreno@mcri.edu.au +61399366191 Personal web page
Co-supervisor Email Number Webpage
Professor John Calin john.carlin@mcri.edu.au +61393456363 Personal web page
Ms Ktherine Lee katherine.lee@mcri.edu.au +61393456549

Project Details

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

Child Health

School Research Themes

Child Health in Medicine

Research Opportunities

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

Graduate Research application

Honours application

Key Contact

For further information about this research, please contact a supervisor.



Research Node

Royal Children’s Hospital/Murdoch Childrens Research Institute

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