Methodology for prediction and estimation of consequences of possible atmospheric releases of hazardous matter: “Kursk” submarine study A. Baklanov, A. Mahura , and J. H. Sørensen Danish Meteorological Institute, 2100 Copenhagen, Denmark Kola Science Centre, Apatity, 184200, Russia Received: 12 November 2002 – Accepted: 24 February 2003 – Published: 17 March 2003 Correspondence to: A. Baklanov ...

Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic be...

Cardiovascular risk prediction models based on classical risk factors identified in epidemiologic cohort studies are useful in primary prevention of cardiovascular disease in individuals. This article briefly reviews aspects of cardiovascular risk prediction in the United States and efforts to evaluate novel risk factors. Even though many novel risk markers have been found to be associated with...

In many areas of medicine risk prediction models are used to identify high-risk persons to receive treatment, with the goal of maximizing the ratio of benefits to harms. Thus there is considerable interest in evaluating markers to improve risk prediction. Many measures to evaluate a new marker for risk prediction are based solely on predictive accuracy including the odds ratio, change in the ar...