Strategies for handling missing data in the development, validation and implementation of clinical risk prediction tools

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/546059

Funding Status
Closed

Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the .

Funded Activity Summary

Tools that predict the future outcome of disease are common. Missing data is a problem in studies that develop and validate such tools and affects their validity because simple approaches to dealing with missing data are biased. We will develop statistical methodology in this area and compare the performance of this and other methodologies. Alongside this methodological work we will re-assess existing prediction tools and develop new tools in the areas of cardiac surgery and kidney disease.

Funded Activity Details

Start Date: 01-01-2009

End Date: 01-01-2012

Funding Scheme: NHMRC Project Grants

Funding Amount: $451,692.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

Cardiovascular disease | Diagnosis and prevention | Missing data | Prognostic tools | Propensity scores | Renal disease | Risk prediction

Related Links