Selecting the best cancer risk prediction models

Funding Activity

Website
http://purl.org/au-research/grants/nhmrc/GNT1129136

Funding Status
Closed

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Funded Activity Summary

Risk prediction models incorporating multiple risk factors (including genetic markers) are a recognised method to identify individuals at high risk of developing breast or colorectal cancer, but it is uncertain which model(s) currently perform best in a population setting. We aim to compare the predictive ability of each available model. Knowing which model performs best will facilitate early diagnosis, reduce overall costs by better targeting interventions and improve cancer survival.

Funded Activity Details

Start Date: 01-01-2017

End Date: 01-01-2019

Funding Scheme: Project Grants

Funding Amount: $509,601.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Epidemiology

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

cancer epidemiology | lifestyle factors | risk prediction | single nucleotide polymorphism (SNP) | validation

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