Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1802
Title: Assessing the distribution of risk.
Epworth Authors: McKenzie, Dean
Gwini, Stella
Fahey, Michael
Downing, Marina
Spitz, Gershon
Thomas, Christopher
Sultana, Ron
Keywords: Regression
Statistical Methods
Risk factors
Disease Associations
Breast Cancer
Age Category
Menopause Status
Breast Density Classification
Family History
Symptoms of Breast Cancer
Risk Scores for Breast Cancer
Disease Burden
Risk Quintile
Epworth HealthCare
Issue Date: Aug-2019
Conference Name: Epworth HealthCare Research Week 2019
Conference Location: Epworth Research Institute, Victoria, Australia
Abstract: Background: Overall snapshots of the association between risk factors and disease facilitate screening, education and treatment programs, especially if a small proportion of the population has a high level of expected risk.
URI: http://hdl.handle.net/11434/1802
Type: Conference Poster
Affiliated Organisations: Barwon Health, Geelong, Victoria, Australia
Monash University, Melbourne, Victoria, Australia
Swinburne University of Technology, Melbourne, Victoria, Australia
University of Oxford, United Kingdom
University of Melbourne, Victoria, Australia
Type of Clinical Study or Trial: Cohort Study
Appears in Collections:Research Week

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