Practical Tools For Robust Analysis Of Large Epidemiological Studies With Incomplete Data
Funder
National Health and Medical Research Council
Funding Amount
$358,492.00
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