Practical tools for robust analysis of large epidemiological studies with incomplete data

Funding Activity

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Funded Activity Summary

Studies of the causes and consequences of health outcomes follow large cohorts of individuals for long time periods. A major challenge in analysing data from these studies is that information is often incomplete. Participants rarely complete all waves of data collection, or provide all requested information. Statistical research has led to increased use of a statistical method (multiple imputation) that recovers information from incomplete cases. This project will develop and improve this method

Funded Activity Details

Start Date: 01-01-2010

End Date: 01-01-2013

Funding Scheme: NHMRC Project Grants

Funding Amount: $358,492.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Biostatistics

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

analysis of large-scale epidemiological studies | cancer | child and adolescent health | life-course epidemiology | longitudinal cohort studies | missing data | multiple imputation