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Comment
. 2015 May 7;107(6):djv127.
doi: 10.1093/jnci/djv127. Print 2015 Jun.

Re: Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer

Stuart G Baker  1
Affiliations
Comment

Re: Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer

Stuart G Baker. J Natl Cancer Inst. .
No abstract available

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Figures

Figure 1.
Figure 1.
Receiver operating characteristic (ROC) and relative utility curves for the constant odds ratio ROC curve. FPR = false-positive rate; OR = odds ratio; ROC = receiver operating characteristic curve; TPR = true-positive rate.
See this image and copyright information in PMC

Comment on

References

    1. Garcia-Closas M, Gunsoy NB, Chatterjee N. Combined associations of genetic and environmental risk factors: implications for prevention of breast cancer. J Natl Cancer Inst. 2014;106(11): dju305 doi:10.1093/jnci/dju305. - PMC - PubMed
    1. Baker SG, Schuit E, Steyerberg EW, et al. How to interpret a small increase in AUC with an additional risk prediction marker: Decision analysis comes through. Stat Med. 2014;33(2):3946–3959. Correction 33(2): 3960. - PMC - PubMed
    1. Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Dec Making. 2006;26(6):565–574. - PMC - PubMed
    1. Baker SG. Putting risk prediction in perspective: relative utility curves. J Natl Cancer Inst. 2009;101:1538–1542. - PMC - PubMed
    1. Baker SG, Cook NR, Vickers A, Kramer BS. Using relative utility curves to evaluate risk prediction. J Roy Stat Soc Ser A. 2009;172:729–748. - PMC - PubMed

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