Development and validation of a melanoma risk score based on pooled data from 16 case-control studies.

ABSTRACT:

Background

We report the development of a cutaneous melanoma risk algorithm based upon seven factors; hair color, skin type, family history, freckling, nevus count, number of large nevi, and history of sunburn, intended to form the basis of a self-assessment Web tool for the general public.

Methods

Predicted odds of melanoma were estimated by analyzing a pooled dataset from 16 case-control studies using logistic random coefficients models. Risk categories were defined based on the distribution of the predicted odds in the controls from these studies. Imputation was used to estimate missing data in the pooled datasets. The 30th, 60th, and 90th centiles were used to distribute individuals into four risk groups for their age, sex, and geographic location. Cross-validation was u

SUBMITTER: Davies JR 

PROVIDER: S-EPMC4487528 | biostudies-literature | 2015 May

REPOSITORIES: biostudies-literature