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  • An independent external validation of melanoma risk prediction models using the Australian Melanoma Family Study (Letter)

    Author(s)
    Vuong, K
    Armstrong, BK
    Espinoza, D
    Hopper, JL
    Aitken, JF
    Giles, GG
    Schmid, H
    Mann, GJ
    Cust, AE
    McGeechan, K
    Griffith University Author(s)
    Vuong, Kylie
    Year published
    2021
    Metadata
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    Abstract
    Dear Editor, Risk-prediction models, which include a combination of risk factors, have been developed as a more accurate way of estimating risk and personalizing preventive interventions. Many melanoma risk-prediction models have been published but few have been independently validated.1 We aimed to externally validate 12 melanoma risk-prediction models using the Australian Melanoma Family Study (AMFS), a population-based, case–control family study comprising 629 incident first-primary melanoma cases, 240 population-based controls ascertained using the electoral roll (voting is compulsory) and 295 spouse or friend controls.2 ...
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    Dear Editor, Risk-prediction models, which include a combination of risk factors, have been developed as a more accurate way of estimating risk and personalizing preventive interventions. Many melanoma risk-prediction models have been published but few have been independently validated.1 We aimed to externally validate 12 melanoma risk-prediction models using the Australian Melanoma Family Study (AMFS), a population-based, case–control family study comprising 629 incident first-primary melanoma cases, 240 population-based controls ascertained using the electoral roll (voting is compulsory) and 295 spouse or friend controls.2 Recruitment took place from 2001 to 2005 in the states of New South Wales, Queensland and Victoria.
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    Journal Title
    British Journal of Dermatology
    Volume
    184
    Issue
    5
    DOI
    https://doi.org/10.1111/bjd.19706
    Subject
    Clinical sciences
    Oncology and carcinogenesis
    Science & Technology
    Life Sciences & Biomedicine
    Dermatology
    IDENTIFYING INDIVIDUALS
    Publication URI
    http://hdl.handle.net/10072/413252
    Collection
    • Journal articles

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