Development and External Validation of a Melanoma Risk Prediction Model Based on Self-assessed Risk Factors | Zendy

Kylie Vuong | Zendy; Bruce K. Armstrong | Zendy; Elisabete Weiderpass | Zendy; Eiliv Lund | Zendy; HansOlov Adami | Zendy; Marit B. Veierød | Zendy; Jennifer H. Barrett | Zendy; John R. Davies | Zendy; D. Timothy Bishop | Zendy; David C. Whiteman | Zendy; Catherine M. Olsen | Zendy; John L. Hopper | Zendy; Graham J. Mann | Zendy; Anne Ε. Cust | Zendy; Kevin McGeechan | Zendy

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Development and External Validation of a Melanoma Risk Prediction Model Based on Self-assessed Risk Factors

Author(s) -

Kylie Vuong,

Bruce K. Armstrong,

Elisabete Weiderpass,

Eiliv Lund,

HansOlov Adami,

Marit B. Veierød,

Jennifer H. Barrett,

John R. Davies,

D. Timothy Bishop,

David C. Whiteman,

Catherine M. Olsen,

John L. Hopper,

Graham J. Mann,

Anne Ε. Cust,

Kevin McGeechan

Publication year - 2016

Publication title -

jama dermatology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.128

H-Index - 166

eISSN - 2168-6084

pISSN - 2168-6068

DOI - 10.1001/jamadermatol.2016.0939

Subject(s) - medicine , receiver operating characteristic , melanoma , logistic regression , incidence (geometry) , cohort study , skin cancer , risk assessment , cohort , population , relative risk , absolute risk reduction , demography , oncology , cancer , environmental health , confidence interval , physics , computer security , cancer research , sociology , computer science , optics

Identifying individuals at high risk of melanoma can optimize primary and secondary prevention strategies.

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