Multiple imputation algorithms for dealing with longitudinal panel data

The project will use large scale survey with multiple waves of self-reported data, linked to routinely collected datasets. Multiple imputation algorithms will be developed and evaluated for use in epidemiological studies.

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Completed
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Contact name
Associate Professor Grace Joshy
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The project will use large scale survey with multiple waves of self-reported data, linked to routinely collected datasets. Multiple imputation algorithms will be developed and evaluated for use in epidemiological studies.

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Supervisor