Implementing multiple imputation with sensitivity analysis in large-scale longitudinal studies

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/GNT1102468

Funding Status
Closed

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Funded Activity Summary

Missing data arise in most research studies and if not handled appropriately can mean the study results are not correct. With researchers now conducting larger and longer studies the challenges posed by missing data are increasing. In this grant we study a powerful technique for handling missing data, which in its current form often cannot be applied effectively in large studies. By developing this approach we will improve the accuracy of results from large-scale epidemiological studies.

Funded Activity Details

Start Date: 01-01-2016

End Date: 01-01-2018

Funding Scheme: Project Grants

Funding Amount: $473,507.00

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

biostatistics | epidemiological research methods | long term | longitudinal cohort study | statistics

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