Using synthetic datasets to bridge the gap between the promise and reality of basing health-related decisions on common single nucleotide polymorphisms
Sign Up to like & getrecommendations! Published in 2019 at "F1000Research"
DOI: 10.12688/f1000research.21797.1
Abstract: Background: While the academic genetic literature has clearly shown that common genetic single nucleotide polymorphisms (SNPs), and even large polygenic SNP risk scores, cannot reliably be used to determine risk of disease or to personalize… read more here.
Keywords: promise reality; risk; nucleotide polymorphisms; single nucleotide ... See more keywords
Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios
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DOI: 10.5194/nhess-20-2091-2020
Abstract: Abstract. Modelling multiple hazard interrelations remains a challenge for practitioners. This article primarily focuses on the interrelations between pairs of hazards. The efficacy of six distinct bivariate extreme models is evaluated through their fitting capabilities… read more here.
Keywords: multi hazard; synthetic datasets; framework developed; bivariate extreme ... See more keywords