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Attrition in longitudinal studies: advancing and evaluating statistical methods (2009-2011)

Abstract

Longitudinal studies offer a unique opportunity to increase knowledge of the causes and mechanisms behind disease and mortality. Because of their length, these studies not only have rich scientific potential, but are likely to have cost a significant amount of time and money. Studies that have collected data over many years often have high levels of attrition, or loss to follow-up, which threatens their validity and generalisability. Our proposal aims to regain the full potential of longitudinal studies by determining the optimal designs for minimising attrition and methods for correcting resulting bias, and to produce recommendations for the analysis and reporting of attrition in longitudinal studies.

Experts

Professor Abdullah Mamun

NHMRC Leadership Fellow
UQ Poche Centre for Indigenous Health
Faculty of Health, Medicine and Behavioural Sciences
Affiliate of ARC COE for Children and Families Over the Lifecourse
ARC COE for Children and Families Over the Lifecourse
Faculty of Humanities, Arts and Social Sciences
Abdullah Mamun
Abdullah Mamun